Search results for "learning (artificial intelligence)"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Jack Stockholm, Philippe Pasquier	Reinforcement Learning of Listener Response for Mood Classification of Audio.	CSE	2009	DBLP DOI BibTeX RDF
1	Rerngwut Choomuang	Distributed Control on a model of Mars Rover Spirit.	RAM	2008	DBLP DOI BibTeX RDF
1	David M. Steiger, Natalie M. Steiger	Decision Support as Knowledge Creation: An Information System Design Theory.	HICSS	2007	DBLP DOI BibTeX RDF
1	Megan Vazey	Stochastic Foundations for the Case-Driven Acquisition of Classification Rules.	EKAW	2006	DBLP DOI BibTeX RDF	Colla-borative Tagging, Machine Learning, Knowledge Based Systems, Expert Systems, Knowledge Acquisition, Case Based Reasoning, Folksonomies, Knowledge Discovery in Databases, Group Decision Support Systems, Ripple Down Rules
1	Saleema Amershi, N. Arksey, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, Heather Maclaren, David Poole	Designing CIspace: pedagogy and usability in a learning environment for AI.	ITiCSE	2005	DBLP DOI BibTeX RDF	artificial intelligence, pedagogy, interactive visualization
1	Houari A. Sahraoui, Mounir Boukadoum, Hakim Lounis, Frédéric Ethève	Predicting class libraries interface evolution: an investigation into machine learning approaches.	APSEC	2000	DBLP DOI BibTeX RDF	class library interface evolution prediction, object-oriented system evolution management, reusable class libraries, version compatibility, symptomatic instability detection, fuzzy logic-based approach, structural metrics, stability indicators, commercial C++ class libraries, top down induction of decision trees, machine learning, user interfaces, user interface, learning (artificial intelligence), fuzzy logic, object-oriented programming, decision trees, software quality, software metrics, software reusability, pattern classification, Bayes methods, software development management, software libraries, Bayesian classifiers, management of change
1	Peter Auer	Using Upper Confidence Bounds for Online Learning.	FOCS	2000	DBLP DOI BibTeX RDF	upper confidence bounds, exploitation decision, exploration decision, adversarial bandit problem, associative reinforcement learning, linear value functions, learning (artificial intelligence), statistical analysis, statistics, online learning, random processes, random process, uncertainty handling, uncertain information
1	Rómer Rosales, Stan Sclaroff	Specialized Mappings and the Estimation of Human Body Pose from a Single Image. (PDF / PS)	Workshop on Human Motion	2000	DBLP DOI BibTeX RDF	human body pose esimation, articulated body pose, monocular images, Specialized Mappings Architecture, nonlinear supervised learning architecture, forward mapping functions, feedback matching function, computer vision, learning (artificial intelligence), probability, image recognition, probabilistic model, maximum likelihood estimation, maximum likelihood estimation, expectation maximization
1	Yang Song, Pietro Perona	A Computational Model for Motion Detection and Direction Discrimination in Humans. (PDF / PS)	Workshop on Human Motion	2000	DBLP DOI BibTeX RDF	direction discrimination, biological motion, joint probability density function, human motion perception, computer vision, learning (artificial intelligence), learning, probability, computational model, inference mechanisms, motion detection, biology computing, statistical inference, image motion analysis, psychophysics experiments, quantitative models
1	L. M. Tanco, Adrian Hilton	Realistic Synthesis of Novel Human Movements from a Database of Motion Capture Examples. (PDF / PS)	Workshop on Human Motion	2000	DBLP DOI BibTeX RDF	realistic images, novel human movement synthesis, motion capture examples database, novel motion sequences, start keyframe, end keyframe, keyframe animation, learning (artificial intelligence), learning, image sequences, sampling, statistics, computer animation, statistical model, video databases, biomechanics, image sampling, realism, image motion analysis
1	Osman Abul, Faruk Polat, Reda Alhajj	Function approximation based multi-agent reinforcement learning.	ICTAI	2000	DBLP DOI BibTeX RDF	multi-agent based domain independent coordination mechanisms, coordination information, reward distribution, region-wide joint rewards, Adversarial Food-Collecting World, multi-agent environments, multi-agent systems, learning (artificial intelligence), function approximation, function approximation, state transitions, multi-agent reinforcement learning
1	Nikolaos G. Bourbakis, George Bebis, James R. Gattiker	A synergistic model for interpreting human activities and events from video: a case study.	ICTAI	2000	DBLP DOI BibTeX RDF	synergistic model, human activity interpretation, L-G graph, SPN graph, structural image features, local global graphs, neural network, image processing, learning (artificial intelligence), learning, Petri nets, graph theory, video, case study, neural nets, stochastic Petri nets, behavioral patterns
1	Borisas Bursteinas, James Allen Long	Transforming supervised classifiers for feature extraction.	ICTAI	2000	DBLP DOI BibTeX RDF	supervised classifiers, supervised linear feature extraction algorithm, class labels, extracted feature quality evaluation, multivariate decision trees, classifier induction, feature subset evaluation, wrapper model method, algorithm performance evaluation, data mining, learning (artificial intelligence), feature extraction, feature selection, decision trees, pattern classification, software performance evaluation, computation time, very large databases, computational efficiency, data classification, large databases
1	Patrick Feucht, Johann Marius Zöllner, Karsten Berns, Torsten Zirzlaff, Oskar Leisin	Learning methods for online-process diagnosis.	ICTAI	2000	DBLP DOI BibTeX RDF	spray coating techniques, production engineering computing, online process diagnosis, workpiece costs, online production error detection, defective workpieces, qualitative evaluation method, car body part spraying, parameter determination, industrial use, spray painting, learning (artificial intelligence), prototype, time series, time series, error detection, manufacturing processes, manufacturing processes, online operation, automobile industry, diagnostic reasoning, learning methods
1	Alexandros Kalousis, Melanie Hilario	Model selection via meta-learning: a comparative study.	ICTAI	2000	DBLP DOI BibTeX RDF	NOEMON, dataset characteristics, base-level inducers, instance based learners, boosted decision trees, learning (artificial intelligence), decision trees, decision trees, meta-models, model selection, meta-learning, instance based learning
1	Raymond Lau, Arthur H. M. ter Hofstede, Peter Bruza, Kam-Fai Wong	Belief revision and possibilistic logic for adaptive information filtering agents.	ICTAI	2000	DBLP DOI BibTeX RDF	adaptive information filtering agents, adaptive information agents, explanatory power, learning autonomy, logic based framework, AGM belief revision, filtering components, Internet, information retrieval, learning (artificial intelligence), software agents, adaptive systems, belief revision, information overload, possibility theory, information agents, semantic relationships, possibilistic logic, belief maintenance, information objects
1	Georgios I. Papadimitriou, Athena Vakali, Andreas S. Pomportsis	Designing a learning-automata-based controller for client/server systems: a methodology.	ICTAI	2000	DBLP DOI BibTeX RDF	learning-automata-based controller, polling policy, throughput-delay performance, selective polling, feedback information, round-robin polling, bursty traffic conditions, learning (artificial intelligence), simulation results, client-server systems, automata theory, client/server systems
1	Athanassios Papagelis, Dimitrios Kalles	GA Tree: genetically evolved decision trees.	ICTAI	2000	DBLP DOI BibTeX RDF	GA Tree, genetically evolved decision trees, classification decision tree evolution, standard discretized concept learning problems, C4 5, OneR, genetic algorithms, genetic algorithms, learning (artificial intelligence), decision trees, search problems, system performance
1	Isamu Shioya, Takao Miura	Knowledge pruning in decision trees.	ICTAI	2000	DBLP DOI BibTeX RDF	knowledge pruning, pruning method, semantic hierarchies, hierarchy levels, UCI Machine Learning Repository On Car Evaluation and Nursery, data mining, learning (artificial intelligence), decision trees, decision trees, domain knowledge
1	Margaret Mary West, T. L. McCluskey	The application of a machine learning tool to the validation of an air traffic control domain theory.	ICTAI	2000	DBLP DOI BibTeX RDF	machine learning tool, air traffic control domain theory, general clause form theories, ordinal sorts, geometrical revision operators, learning (artificial intelligence), air traffic control, IMPRESS
1	Rong Xiao, Jicheng Wang, Fuyan Zhang	An approach to incremental SVM learning algorithm.	ICTAI	2000	DBLP DOI BibTeX RDF	incremental learning algorithm, support vector set properties, classification equivalence, knowledge accumulation, optimal unimportant sample discarding, least-recently used scheme, training process speed, classification precision, support vector machine, learning (artificial intelligence), pattern classification, learning automata, training set, classification algorithm, storage costs
1	John A. Atkinson-Abutridy, Anita A. Ferreira-Cabrera, Victor Riquelme	Cooperative Learning on Autonomous Agents Acquiring Common Language for Action and Perception.	SCCC	2000	DBLP DOI BibTeX RDF	common language, shared tasks, multi-agent systems, multi-agent system, learning (artificial intelligence), perception, autonomous agents, computational linguistics, action, cooperative learning, lexical acquisition, language acquisition, artificial society, autonomous components
1	Yair Even-Zohar	Using Focus of Attention in Classification.	SCCC	2000	DBLP DOI BibTeX RDF	word predictor, classification, learning (artificial intelligence), pattern classification, text analysis, word prediction, focus of attention
1	Craig M. Files, Rolf Drechsler, Marek A. Perkowski	Functional Decomposition of MVL Functions Using Multi-Valued Decision Diagrams. (PDF / PS)	ISMVL	1997	DBLP DOI BibTeX RDF	learning samples, minterms, machine learning, learning (artificial intelligence), minimization, functional decomposition, multi-valued logic, multi-valued decision diagrams, problem complexity, MVL functions
1	Stan Grygiel, Marek A. Perkowski, Malgorzata Marek-Sadowska, Tadeusz Luba, Lech Józwiak	Cube Diagram Bundles: A New Representation of Strongly Unspecified Multiple-Valued Functions and Relations. (PDF / PS)	ISMVL	1997	DBLP DOI BibTeX RDF	cube diagram bundles, strongly unspecified multiple-valued functions, multiple-valued decomposers, multiple-valued relations, rough partition representation, machine learning, learning (artificial intelligence), function representation
1	Marek A. Perkowski, Malgorzata Marek-Sadowska, Lech Józwiak, Tadeusz Luba, Stan Grygiel, Miroslawa Nowicka, Rahul Malvi, Zhi Wang, Jin S. Zhang	Decomposition of Multiple-Valued Relations . (PDF / PS)	ISMVL	1997	DBLP DOI BibTeX RDF	multiple-valued relations decomposition, cofactor pair compatibility, group compatibility, strongly unspecified data, program GUD-MV, machine learning, learning (artificial intelligence)
1	Avrim Blum, Alan M. Frieze, Ravi Kannan, Santosh Vempala	A Polynomial-Time Algorithm for Learning Noisy Linear Threshold Functions.	FOCS	1996	DBLP DOI BibTeX RDF	noisy linear threshold function learning, ellipsoid algorithm, separation parameter, input description length, weak hypothesis finding, random classification noise, data outlier removal, learning (artificial intelligence), linear program, polynomial-time algorithm, greedy algorithms, noise tolerance, perceptron algorithm, PAC model
1	Alan M. Frieze, Mark Jerrum, Ravi Kannan	Learning Linear Transformations.	FOCS	1996	DBLP DOI BibTeX RDF	Valiant's PAC model, arbitrarily oriented cube, distributed sample points, learning (artificial intelligence), learning, polynomial time algorithm, linear transformations
1	S. Cremoux, Christophe Fagot, Patrick Girard, Christian Landrault, Serge Pravossoudovitch	A new test pattern generation method for delay fault testing.	VTS	1996	DBLP DOI BibTeX RDF	test pattern generation method, directed random generation technique, random test vectors, test sequence length, delay fault coverage, learning (artificial intelligence), VLSI, logic testing, delays, built-in self test, integrated circuit testing, BIST, automatic testing, delay fault testing, digital integrated circuits, learning tool, high speed circuits
1	D. C. Maddever	A wool specification expert system in LEVEL 5 ObjectTM or experiences of a procedural programmer with a hybrid system.	ANNES	1995	DBLP DOI BibTeX RDF	textile industry, wool specification expert system, LEVEL5 Object, procedural programmer, VP Expert, New Zealand wool, carpet yarn, yarn manufacturing plant, genetic algorithms, learning (artificial intelligence), learning, evolutionary algorithm, object-oriented programming, object oriented programming, software tools, expert systems, expert system, FORTRAN, FORTRAN, system design, systems analysis, hybrid system, intelligent system, systems developments, computer integrated manufacturing
1	Th. Fritsch, B. Neuner, P. Klotz, P. H. Kraus	A Self-Organizing Neural Net Clustering Parkinson Patients and Control Persons Using Motor Data.	CBMS	1995	DBLP DOI BibTeX RDF	self-organizing neural net, Parkinson patients, motor data, neurodegenerative disorder, therapeutic measures, therapeutic control, disease monitoring, learning (artificial intelligence), statistical analysis, medical computing, self-organizing feature map, standardisation, motor impairment, self-organising feature maps, patient monitoring, Parkinson's disease
1	Peter Auer, Manfred K. Warmuth	Tracking the Best Disjunction.	FOCS	1995	DBLP DOI BibTeX RDF	best disjunction tracking, deterministic on-line learning algorithm, k-literal disjunctions, worst-case mistake bounds, learning (artificial intelligence), upper bounds, computational linguistics, randomised algorithms, amortized analysis, Winnow
1	Nader H. Bshouty, Yishay Mansour	Simple Learning Algorithms for Decision Trees and Multivariate Polynomials.	FOCS	1995	DBLP DOI BibTeX RDF	constant bounded product distribution, /spl epsiv/-approximation, j-disjoint DNF, bounded term size, learning (artificial intelligence), decision trees, interpolation, interpolation, finite fields, polynomials, decision theory, learning algorithms, learnability, multivariate polynomials, membership queries, bounded degree
1	Yoav Freund, Michael J. Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire	Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries.	FOCS	1995	DBLP DOI BibTeX RDF	repeated games playing, computationally bounded adversaries, penny-matching, classically studied finite automata, learning (artificial intelligence), game theory, finite automata, learning algorithm, computational efficiency
1	Oded Goldreich, Ronitt Rubinfeld, Madhu Sudan	Learning Polynomials with Queries: The Highly Noisy Case.	FOCS	1995	DBLP DOI BibTeX RDF	polynomials with queries learning, highly noisy case, n-variate inputs, n-variate degree d polynomials, learning (artificial intelligence), randomized algorithm, finite field, polynomials, explanation, running time, randomised algorithms
1	Bassem A. Alhalabi, Magdy A. Bayoumi	A scalable analog architecture for neural networks with on-chip learning and refreshing.	Great Lakes Symposium on VLSI	1995	DBLP DOI BibTeX RDF	analogue storage, scalable analog architecture, on-chip learning, on-chip refreshing, analog storage, analog functional blocks, analog pass switches, system versatility, learning speed, local analog synaptic updating scheme, unbounded scalability, neural networks, learning (artificial intelligence), neural chips, analogue processing circuits
1	Garett O. Dworman, Steven O. Kimbrough, James D. Laing	On automated discovery of models using genetic programming in game-theoretic contexts.	HICSS	1995	DBLP DOI BibTeX RDF	high-quality negotiation policies, three-player coalitions game, genetic algorithms, learning (artificial intelligence), genetic programming, game theory, game-theory, evolutionary computation, mathematical models, qualitative models, machine learning techniques
1	Timo Käkölä	Fostering organizational learning with embedded application systems: the XTEND2 prototype.	HICSS	1995	DBLP DOI BibTeX RDF	embedded application systems, XTEND2 prototype, computerized tasks, embedded systems approach, extended support systems, coordinating role, unexpected breakdowns, Embedded Application Systems, commercial implementations, real-time systems, learning (artificial intelligence), information systems, information systems, organizational learning, software systems
1	William H. Money	Applying social cognitive learning theory to the application of group support systems (GSSs) in classroom settings.	HICSS	1995	DBLP DOI BibTeX RDF	social cognitive learning theory, classroom settings, prototype educational experimenters information systems, course module, module covering systems analysis, organizational data, learning (artificial intelligence), group support systems, group decision support systems, reciprocity, computer aided instruction, cognitive systems, educational computing
1	Ning Zhong, Setsuo Ohsuga	Managing/refining structural characteristics discovered from databases.	HICSS	1995	DBLP DOI BibTeX RDF	structural characteristics management, structural characteristics refinement, automatic knowledge discovery, large knowledge bases, erroneous data, hypothesis generation, hypothesis evaluation, Inheritance Inference Based Refinement, Global Learning Scheme, Knowledge Oriented Statistic Inference, KAUS knowledge-based system, IIBR subsystem, GLS discovery system, KOSI subsystem, learning (artificial intelligence), databases, data structures, knowledge based systems, inheritance, deductive databases, error analysis, error analysis, inference mechanisms, heuristic programming, regression models, model representation, deductive rules
1	George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo	Learning Geometric Hashing Functions for Model-Based Object Recognition. (PDF / PS)	ICCV	1995	DBLP DOI BibTeX RDF	geometric hashing functions, distribution of invariants, geometric hash function, elastic hash table, hash bins, statistical characteristics, neural network, learning (artificial intelligence), learning, object recognition, indexing, training, invariants, file organisation, topology preserving, self-organizing feature map, self-organising feature maps, elastic net, model-based object recognition
1	Shayan Mukherjee, Shree K. Nayar	Automatic Generation of GRBF Networks for Visual Learning. (PDF / PS)	ICCV	1995	DBLP DOI BibTeX RDF	generalized radial basis function networks, approximating function, integral wavelet transform, one-dimensional examples, computer vision, learning (artificial intelligence), object recognition, object recognition, motion estimation, wavelet transforms, pose estimation, error bound, optimization techniques, feedforward neural nets, visual learning
1	Ré Audouin, Lokendra Shastri	Incremental character recognition with feature attribution. (PDF / PS)	ICDAR	1995	DBLP DOI BibTeX RDF	incremental character recognition, feature attribution, neural network learning algorithm, character classes, relevant feature, presegmented digits, spatio-temporal network architecture, unsegmented strings, learning (artificial intelligence), approximation, generalization, recurrent neural networks, incremental learning, handwritten digit recognition, relevance measure
1	Bruno Bontempi, Angelo Marcelli	Towards a genetic based prototyper for character shapes. (PDF / PS)	ICDAR	1995	DBLP DOI BibTeX RDF	genetic based prototyper, character shapes, shape description scheme, genetic algorithms, genetic algorithm, machine learning, learning (artificial intelligence), optical character recognition, OCR system
1	Dar-Shyang Lee, Sargur N. Srihari	A theory of classifier combination: the neural network approach. (PDF / PS)	ICDAR	1995	DBLP DOI BibTeX RDF	combinator design, omnitype mixed type combination, correlated classifier combination, redundant classifier elimination, model complexity control, dynamic selection combination, neural network learning, learning (artificial intelligence), optical character recognition, image classification, multilayer perceptrons, classifier combination, feedforward neural nets, classifier design, handwritten digits
1	Atsuhiro Takasu, Shin'ichi Satoh, Eishi Katsura	A rule learning method for academic document image processing. (PDF / PS)	ICDAR	1995	DBLP DOI BibTeX RDF	educational administrative data processing, syntactic rule learning method, academic document image processing, CyberMagazine, database tuples, block segmentation, rough classification, two dimensional plane, ordinal context free grammar, symbol concatenation, non terminal symbols, decomposed trees, learning (artificial intelligence), image segmentation, image classification, trees (mathematics), document image processing, computational linguistics, visual databases, visual database, context-free grammars, syntactic analysis, parse trees, digital library system
1	Domenic Ziino, Adnan Amin, Claude Sammut	Recognition of hand printed Latin characters using machine learning. (PDF / PS)	ICDAR	1995	DBLP DOI BibTeX RDF	hand-printed Latin characters, hand-printed, recognition rules, bit-map representation, machine learning, learning (artificial intelligence), decision tree, character recognition, handwriting recognition, writing styles
1	Manabu Kawada, Xu Wu, Tadashi Ae	A construction of neural-net based AI systems.	ICECCS	1995	DBLP DOI BibTeX RDF	neural-net based AI system construction, neural network technique, real-time neuron-based AI architecture, NAI, real-time case-based reasoning system, winner-take-all type neural network, real-time classification, real-time retrieval, massive case-base, flexible learning, self-organizing learning algorithm, LVQ1 learning algorithm, real-time systems, learning (artificial intelligence), knowledge based systems, unsupervised learning, supervised learning, case-based reasoning, pattern classification, learning algorithms, algorithm theory, neural net architecture
1	Bilge Günsel, Cüneyt Güzelis	Supervised learning of smoothing parameters in image restoration by regularization under cellular neural networks framework. (PDF / PS)	ICIP	1995	DBLP DOI BibTeX RDF	regularization cost function, quadratic cost function, connection weights, recurrent perceptron learning algorithm, bipolar binary output mode, noisy image restoration, learning (artificial intelligence), parameter estimation, parameter estimation, image restoration, image restoration, regularization, adaptive systems, supervised learning, multilayer perceptrons, experimental results, learning systems, adaptive learning, Lyapunov function, median filter, cellular neural networks, smoothing methods, smoothing parameters, recurrent neural nets, cellular neural nets
1	S. Y. Kung, M. Fang, S. P. Liou, M. Y. Chiu, Jin-Shiuh Taur	Decision-based neural network for face recognition system. (PDF / PS)	ICIP	1995	DBLP DOI BibTeX RDF	decision-based neural network, face recognition system, hierarchical network structure, nonlinear basis functions, competitive credit-assignment scheme, face detector, eye localizer, DBNN based face recognizer, SCR-IM database, ARPA-FERET database, classification, learning (artificial intelligence), feature extraction, feature extraction, face recognition, image recognition, neural nets, feature vectors, human face
1	Athanasios V. Vasilakos, Nikolaos H. Loukas, Antonios F. Atlasis	The use of learning algorithms in ATM networks call admission control problem: a methodology. (PDF / PS)	LCN	1995	DBLP DOI BibTeX RDF	ATM network call admission control problem:, stochastic estimator learning algorithm, call request acceptance, traffic sources, equivalent bandwidth approximation, statistical gain, performance evaluation, learning (artificial intelligence), asynchronous transfer mode, feedback, local area networks, stochastic processes, estimation theory, telecommunication congestion control, performance simulation
1	Kyugon Cho, Stanley M. Dunn	Learning Shape Classes.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	shape classes learning, local shape properties, property based learning, shape learning system, classification, pattern recognition, learning (artificial intelligence), occlusion, incremental learning, learning systems, hand gestures
1	A. J. Katz, P. R. Thrift	Generating Image Filters for Target Recognition by Genetic Learning.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	genetic learning, two-layered approach, focus-of-attention function, Screener, fitness criteria, genetic algorithms, genetic algorithms, pattern recognition, learning (artificial intelligence), feature extraction, optimisation, image recognition, Classifier, filtering and prediction theory, targets detection, image filters, target recognition, computational load, statistical classifier, linear operators
1	Michael S. Lew, Thomas S. Huang, Kam Wong	Learning and Feature Selection in Stereo Matching.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	image dependent knowledge, image independent knowledge, self-diagnostic method, surface reconstruction model, learning (artificial intelligence), feature extraction, feature selection, approximation, image reconstruction, surface reconstruction, adaptive systems, error analysis, stereo image processing, stereo matching, feature space, instance based learning, adaptive method, feature set
1	Marcello Pelillo, Mario Refice	Learning Compatibility Coefficients for Relaxation Labeling Processes.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	compatibility coefficients, relaxation labeling processes, local ambiguities, global consistency, pattern recognition, pattern recognition, image processing, learning (artificial intelligence), artificial intelligence, probability, iterative methods, neural nets, nonlinear programming, numerical analysis, contextual information, real numbers, iterative procedures, training data, relaxation theory
1	Paolo Pellegretti, Fabio Roli, Sebastiano B. Serpico, Gianni Vernazza	Supervised Learning of Descriptions for Image Recognition Purposes.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	description learning, fuzzy descriptions, relational descriptions, learning (artificial intelligence), image recognition, image recognition, supervised learning, fuzzy set theory, 2D images
1	Nageswara S. V. Rao, E. M. Oblow, Charles W. Glover	Learning Separations by Boolean Combinations of Half-Spaces.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	Boolean combinations, learning half spaces, separation function, online learning algorithm, learning (artificial intelligence), neural nets, separations, perceptrons, consolidator
1	Stephen J. Smith, Mario O. Bourgoin, Karl Sims, Harry Voorhees	Handwritten Character Classification Using Nearest Neighbor in Large Databases.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	handwritten character classification, nearest neighbor distance, simple statistical technique, large training database, standard nearest neighbor classification system, Hamming distance metric, pixel distance metric, penstroke features extraction, National Institute of Standards and Technology, confidence metric, computer vision, learning (artificial intelligence), optical character recognition, error rate, distance metrics, classification accuracies, handwritten digits
1	Keshab K. Parhi, Frank H. Wu, Kalyan Genesan	Sequential and Parallel Neural Network Vector Quantizers.	IEEE Trans. Computers	1994	DBLP DOI BibTeX RDF	parallel neural network, parallel learning techniques, codebook design, neural learning, sequential learning, parallel learning, parallel algorithms, learning (artificial intelligence), neural nets, vector quantizers, competitive learning, self organizing feature map
1	Howard W. Beck, Tarek M. Anwar, Shamkant B. Navathe	A Conceptual Clustering Algorithm for Database Schema Design.	IEEE Trans. Knowl. Data Eng.	1994	DBLP DOI BibTeX RDF	conceptual clustering algorithm, database schema design, complex clusters, class descriptions, default values, family resemblance, class cohesion, subsumption function, realization function, exception condition, schema modification, schema generation, view creation, machine learning, learning (artificial intelligence), data structures, query processing, query processing, database management systems, exception handling, exception handling, case-based reasoning, case-based reasoning, database theory, categorization, operating systems (computers), INTERSECT, schema integration, analogical reasoning, explanation-based learning
1	Qing Li, Dennis McLeod	Conceptual Database Evolution Through Learning in Object Databases.	IEEE Trans. Knowl. Data Eng.	1994	DBLP DOI BibTeX RDF	conceptual database evolution, cooperative user/system database design, meta-data evolution, end-user database evolution tool, learning (artificial intelligence), data structures, software tools, object-oriented databases, deductive databases, object databases, conceptual structure, machine learning techniques
1	Norman P. Archer, Shouhong Wang	Learning Bias in Neural Networks and an Approach to Controlling Its Effect in Monotonic Classification.	IEEE Trans. Pattern Anal. Mach. Intell.	1993	DBLP DOI BibTeX RDF	boundary generation unpredictability, monotonic classification, backpropagation training algorithm, learning bias, multiarchitecture monotonic function neural networks, pattern recognition, pattern recognition, learning (artificial intelligence), neural nets, backpropagation
1	Raj Bhatnagar, Laveen N. Kanal	Structural and Probabilistic Knowledge for Abductive Reasoning.	IEEE Trans. Pattern Anal. Mach. Intell.	1993	DBLP DOI BibTeX RDF	structural knowledge, qualitative relationships learning, probabilistic knowledge, learning (artificial intelligence), knowledge engineering, inference mechanisms, explanation, probabilistic logic, abductive reasoning, conditional entropy
1	Hirobumi Nishida, Shunji Mori	An Algebraic Approach to Automatic Construction of Structural Models.	IEEE Trans. Pattern Anal. Mach. Intell.	1993	DBLP DOI BibTeX RDF	structural model automatic construction, shape prototypes, curve structure, algebraic representation, continuous transformation, learning (artificial intelligence), optical character recognition, character recognition, algebra, inductive learning, handwritten numerals, algebraic approach
1	José Oncina, Pedro Garcia, Enrique Vidal	Learning Subsequential Transducers for Pattern Recognition Interpretation Tasks.	IEEE Trans. Pattern Anal. Mach. Intell.	1993	DBLP DOI BibTeX RDF	subsequential transducers, pattern recognition, pattern recognition, learning, learning (artificial intelligence), inference, inference mechanisms, formalization, inductive learning
1	Lorenza Saitta, Francesco Bergadano	Pattern Recognition and Valiant's Learning Framework.	IEEE Trans. Pattern Anal. Mach. Intell.	1993	DBLP DOI BibTeX RDF	Valiant's learning framework, computational learning approach, concept descriptions, growth function, pattern recognition, pattern recognition, learning (artificial intelligence), probability, probability, Boolean functions, Boolean formulas, training sample
1	Jian-Xiong Wu, Chorkin Chan	Isolated Word Recognition by Neural Network Models with Cross-Correlation Coefficients for Speech Dynamics.	IEEE Trans. Pattern Anal. Mach. Intell.	1993	DBLP DOI BibTeX RDF	cross-correlation coefficients, speech dynamics, speaker-independent isolated word speech recognition, probabilistic mapping subnet, interframe temporal information, classification subnet, associated adaptive learning, DARPA TIMIT speech database, learning (artificial intelligence), hidden Markov model, probability, speech recognition, decision-making, decision theory, multilayer perceptron, feature vector, correlation methods, feedforward neural nets, neural network models, concatenation
1	Sung-Kwong Park, Jung H. Kim	Geometrical Learning Algorithm for Multilayer Neural Networks in a Binary Field.	IEEE Trans. Computers	1993	DBLP DOI BibTeX RDF	geometrical learning algorithm, unipolar binary neurons, integer connection weights, learning (artificial intelligence), Boolean function, Boolean functions, feedforward neural nets, multilayer neural networks, binary field, hidden layer
1	Ananth Sankar, Richard J. Mammone	Growing and Pruning Neural Tree Networks.	IEEE Trans. Computers	1993	DBLP DOI BibTeX RDF	neural tree networks, pattern classification method, class label, classification errors, optimal pruning algorithm, function learning tasks, speaker independent vowel recognition, pattern recognition, learning (artificial intelligence), trees (mathematics), learning algorithm, feature space, self-organising feature maps
1	Tao Wang, Xinhua Zhuang, Xiaoliang Xing, Xipeng Xiao	A Neuron-Weighted Learning Algorithm and Its Hardware Implementation in Associative Memories.	IEEE Trans. Computers	1993	DBLP DOI BibTeX RDF	neuron-weighted associative memory, NWAM, gradient descent rule, analog neural network, computer simulation experiments, learning (artificial intelligence), neural nets, associative memories, learning algorithm, hardware implementation, content-addressable storage, neural chips, global minimization
1	Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami	Database Mining: A Performance Perspective.	IEEE Trans. Knowl. Data Eng.	1993	DBLP DOI BibTeX RDF	performance perspective, DBMS mining, performance evaluation, classification, learning (artificial intelligence), decision trees, knowledge based systems, knowledge discovery, database management systems, decision theory, sequences, associations, rule discovery, ID3, machine learning techniques, database mining
1	Darrell Conklin, Suzanne Fortier, Janice I. Glasgow	Knowledge Discovery in Molecular Databases.	IEEE Trans. Knowl. Data Eng.	1993	DBLP DOI BibTeX RDF	chemical information retrieval, spatial concepts, structured concept formation, molecular databases, machine learning paradigm, symbolic images, molecular knowledge base, high resolution electron density map, factographic databases, learning (artificial intelligence), relational databases, indexing, knowledge discovery, description logics, knowledge base, case-based reasoning, case-based reasoning, deductive databases, spatial reasoning, visual databases, relational models, scene analysis, conceptual clustering, chemistry computing
1	Saso Dzeroski, Nada Lavrac	Inductive Learning in Deductive Databases.	IEEE Trans. Knowl. Data Eng.	1993	DBLP DOI BibTeX RDF	single extensional relation, LINUS, inductive logic programming system, virtual relations, negative tuples, attribute-value form, attribute-value learning systems, real-life noisy databases, deductive DBMS, learning (artificial intelligence), logic programming, database theory, deductive databases, deductive databases, inductive learning, noisy data
1	Brian R. Gaines, Paul Compton	Induction of Meta-knowledge about Knowledge Discovery.	IEEE Trans. Knowl. Data Eng.	1993	DBLP DOI BibTeX RDF	meta-knowledge induction, ripple-down rule induction, clinical data, thyroid diagnosis, inductive knowledge discovery, real-world data, Garvan thyroid database, rules with exceptions, medical administrative data processing, machine learning, learning (artificial intelligence), expert system, knowledge discovery, metamodel, meta-modeling, inference mechanisms, induct, error rates, medical diagnosis, medical diagnostic computing, medical expert systems
1	Özden Gür-Ali, William A. Wallace	Induction of Rules Subject to a Quality Constraint: Probabilistic Inductive Learning.	IEEE Trans. Knowl. Data Eng.	1993	DBLP DOI BibTeX RDF	quality constraint, probabilistic inductive learning, organizational databases, tree induction algorithms, total branching, subset elimination, maximum misclassification levels, minimum reliability levels, automated decision processes, claims process, compensation board, learning (artificial intelligence), decision support system, decision support systems, knowledge acquisition, deductive databases, rule induction, tree data structures, uncertainty handling, rule generation, statistical quality control, decision processes
1	Jiawei Han, Yandong Cai, Nick Cercone	Data-Driven Discovery of Quantitative Rules in Relational Databases.	IEEE Trans. Knowl. Data Eng.	1993	DBLP DOI BibTeX RDF	data driven recovery, quantitative rules, quantitative rule, quantitative information, data relevance, characteristic rules, quantitative reasoning, knowledge rules, learning (artificial intelligence), relational databases, relational databases, knowledge based systems, incremental learning, concept hierarchies, classification rules, attribute-oriented induction
1	S. J. Wan, S. K. Michael Wong	A Partially Supervised Learning Algorithm for Linearly Separable Systems.	IEEE Trans. Pattern Anal. Mach. Intell.	1992	DBLP DOI BibTeX RDF	partially supervised learning, linearly separable systems, computational complexity, computational complexity, learning (artificial intelligence), lower bound
1	Mallory Selfridge, Donald J. Dickerson, Stanley F. Biggs	Cognitive Expert Systems and Machine Learning: Artificial Intelligence Research at the University of Connecticut.	AI Magazine	1987	DBLP BibTeX RDF