Search results for "Learning from examples"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Krzysztof Krawiec	Genetic Programming with Local Improvement for Visual Learning from Examples.	CAIP	2001	DBLP DOI BibTeX RDF	genetic local search, visual learning, learning from examples
2	Yun Li, Su-Jun Hu, Wen-Jie Yang, Guo-Zi Sun, Fang-Wu Yao, Geng Yang	Similarity-Based Feature Selection for Learning from Examples with Continuous Values.	PAKDD	2009	DBLP DOI BibTeX RDF	Extension Matrix, Feature Selection, Similarity
2	Marco K. Müller, Rolf P. Würtz	Learning from Examples to Generalize over Pose and Illumination.	ICANN	2009	DBLP DOI BibTeX RDF	rank order coding, pose invariance, controlled generalization, face recognition, illumination invariance, learning from examples
2	Bin Chen, Guangri Quan	NP-Hard Problems of Learning from Examples.	FSKD	2008	DBLP DOI BibTeX RDF
2	Vera Kurková	Generalization in Learning from Examples.	Challenges for Computational Intelligence	2007	DBLP DOI BibTeX RDF
2	Guodong Guo, Charles R. Dyer	Learning from examples in the small sample case: face expression recognition.	IEEE Transactions on Systems, Man, and Cybernetics, Part B	2005	DBLP DOI BibTeX RDF
2	Toshihiro Kamishima, Fumio Motoyoshi	Learning from Cluster Examples.	Machine Learning	2003	DBLP DOI BibTeX RDF	clustering, image segmentation, learning from examples, dot pattern
2	Krzysztof Krawiec	On the Use of Pairwise Comparison of Hypotheses in Evolutionary Learning Applied to Learning from Visual Examples.	MLDM	2001	DBLP DOI BibTeX RDF	representation space, outranking relation, genetic programming, visual learning, learning from examples
2	Jerzy W. Grzymala-Busse, Ming Hu	A Comparison of Several Approaches to Missing Attribute Values in Data Mining.	Rough Sets and Current Trends in Computing	2000	DBLP DOI BibTeX RDF	attribute missing values, Data mining, machine learning, knowledge discovery in databases, learning from examples
2	Piotr Ejdys, Grzegorz Góra	The More We Learn the Less We Know? On Inductive Learning from Examples.	ISMIS	1999	DBLP DOI BibTeX RDF
2	Benjamin W. Wah	Population-Based Learning: A Method for Learning from Examples Under Resource Constraints.	IEEE Trans. Knowl. Data Eng.	1992	DBLP DOI BibTeX RDF	population based learning, feedback delays, performance-related heuristic methods, knowledge-lean application, performance evaluation, scalability, quality, performance measures, cost, test scheduling, resource constraints, classifier systems, learning by example, learning from examples, limited resources
2	Jerzy W. Grzymala-Busse, Sachin Mithal	A Comparison of Four Tests for Attribute Dependency in the LEM and LERS Systems for Learning from Examples.	IEA/AIE (Vol. 2)	1990	DBLP DOI BibTeX RDF
1	Osian Haines, Andrew Calway	Estimating Planar Structure in Single Images by Learning from Examples.	ICPRAM	2012	DBLP BibTeX RDF
1	Valentina Bayer Zubek, Thomas G. Dietterich	Integrating Learning from Examples into the Search for Diagnostic Policies	CoRR	2011	DBLP BibTeX RDF
1	Marek Jaszuk, Grazyna Szostek, Andrzej Walczak, Leszek Puzio	Building a Model of Disease Symptoms Using Text Processing and Learning from Examples.	FedCSIS	2011	DBLP BibTeX RDF
1	Susmit Jha, Sumit Gulwani, Sanjit A. Seshia, Ashish Tiwari	Oracle-guided component-based program synthesis.	ICSE	2010	DBLP DOI BibTeX RDF	oracle-based learning, SAT, program synthesis, SMT
1	Martin Mozina, Claudio Giuliano, Ivan Bratko	Argument Based Machine Learning from Examples and Text.	ACIIDS	2009	DBLP DOI BibTeX RDF
1	Qun Ni, Jorge Lobo, Seraphin B. Calo, Pankaj Rohatgi, Elisa Bertino	Automating role-based provisioning by learning from examples.	SACMAT	2009	DBLP DOI BibTeX RDF	classification, access control, role, provisioning
1	Marcel Bruch, Martin Monperrus, Mira Mezini	Learning from examples to improve code completion systems.	ESEC/SIGSOFT FSE	2009	DBLP DOI BibTeX RDF	code completion, code recommender, content assist, integrated development environment
1	Jiao Wang, Siwei Luo, Jingjing Zhong	Efficient Learning from Few Labeled Examples.	ISNN	2009	DBLP DOI BibTeX RDF	Machine learning, Active learning, Semi-supervised learning, Learning from examples, Selective sampling
1	Augusto Destrero, Christine De Mol, Francesca Odone, Alessandro Verri	A Regularized Framework for Feature Selection in Face Detection and Authentication.	International Journal of Computer Vision	2009	DBLP DOI BibTeX RDF	Lasso regression, Thresholded Landweber, Real-time system, Feature selection, Face detection, Learning from examples, Face authentication, Regularized methods
1	Leslie G. Valiant	Evolvability.	J. ACM	2009	DBLP DOI BibTeX RDF	SQ learning, Evolvable, PAC learning
1	Anna Marconato, Mingqing Hu, Andrea Boni, Dario Petri	Dynamic Compensation of Nonlinear Sensors by a Learning-From-Examples Approach.	IEEE T. Instrumentation and Measurement	2008	DBLP DOI BibTeX RDF
1	Yang Hu, Mingjing Li, Nenghai Yu	Efficient near-duplicate image detection by learning from examples.	ICME	2008	DBLP DOI BibTeX RDF
1	Ariel D. Procaccia, Aviv Zohar, Jeffrey S. Rosenschein	Automated design of scoring rules by learning from examples.	AAMAS	2008	DBLP DOI BibTeX RDF
1	Yali Huang, Lanxun Wang, Caixia Li	Texture Analysis of Ultrasonic Liver Image Based on Wavelet Transform and Probabilistic Neural Network.	BMEI	2008	DBLP DOI BibTeX RDF	Ultrasonic Liver Image, Wavelet Transform, Texture Analysis, Probabilistic Neural Network
1	Yang Liu, Guohua Bai, Boqin Feng	CompactLEM2: A scalable rough set based knowledge acquisition method that generates small number of short rules.	IEEE ICCI	2008	DBLP DOI BibTeX RDF
1	Manolis Maragoudakis, Nikolaos Cosmas, Aristogiannis Garbis	Mining Natural Language Programming Directives with Class-Oriented Bayesian Networks.	ADMA	2008	DBLP DOI BibTeX RDF
1	Vincent Vigneron	Correlation, Independance and Inverse Modeling.	ICISP	2008	DBLP DOI BibTeX RDF
1	Wojciech Tarnawski, Jacek Cichosz	Fuzzy Rule-Based System for the Diagnosis of Laryngeal Pathology Based on Contact Endoscopy Images.	Information Technologies in Biomedicine	2008	DBLP DOI BibTeX RDF
1	Cheng-Lin Liu, Hiromichi Fujisawa	Classification and Learning Methods for Character Recognition: Advances and Remaining Problems.	Machine Learning in Document Analysis and Recognition	2008	DBLP DOI BibTeX RDF
1	Sanjay Jain, Steffen Lange, Sandra Zilles	A general comparison of language learning from examples and from queries.	Theor. Comput. Sci.	2007	DBLP DOI BibTeX RDF
1	Birgit Möller, Stefan Posch	Identifying Lens Distortions in Image Registration by Learning from Examples.	BMVC	2007	DBLP BibTeX RDF
1	Oronzo Altamura, Margherita Berardi, Michelangelo Ceci, Donato Malerba, Antonio Varlaro	Using colour information to understand censorship cards of film archives.	IJDAR	2007	DBLP DOI BibTeX RDF	Historical paper documents, Inductive learning from examples, Color image segmentation
1	Santiago Ontañón, Enric Plaza	Learning and joint deliberation through argumentation in multiagent systems.	AAMAS	2007	DBLP DOI BibTeX RDF	argumentation, case-based reasoning, multiagent learning
1	Zekie Shevked, Ludmil Dakovski	Learning and classification with prime implicants applied to medical data diagnosis.	CompSysTech	2007	DBLP DOI BibTeX RDF	classification, diagnosis, minimization, concept learning, prime implicants, medical data
1	Ching-Hsue Cheng, Jr-Shian Chen	Reinforced Rough Set Theory Based on Modified MEPA in Classifying Cardiovascular Disease.	FSKD	2007	DBLP DOI BibTeX RDF
1	Ahmed Ali Abdalla Esmin	Generating Fuzzy Rules from Examples Using the Particle Swarm Optimization Algorithm.	HIS	2007	DBLP DOI BibTeX RDF
1	Tiziana Margaria, Harald Raffelt, Bernhard Steffen, Martin Leucker	The LearnLib in FMICS-jETI.	ICECCS	2007	DBLP DOI BibTeX RDF
1	Santiago Ontañón, Enric Plaza	An Argumentation-Based Framework for Deliberation in Multi-agent Systems.	ArgMAS	2007	DBLP DOI BibTeX RDF
1	Peggy Cellier, Sébastien Ferré, Olivier Ridoux, Mireille Ducassé	A Parameterized Algorithm for Exploring Concept Lattices.	ICFCA	2007	DBLP DOI BibTeX RDF
1	Leslie G. Valiant	Evolvability.	MFCS	2007	DBLP DOI BibTeX RDF
1	Piotr Paszek, Alicja Wakulicz-Deja	Applying Rough Set Theory to Medical Diagnosing.	RSEISP	2007	DBLP DOI BibTeX RDF
1	Jie Sun 0004, Tejas R. Mehta, David Wooden, Matthew Powers, James M. Rehg, Tucker R. Balch, Magnus Egerstedt	Learning from examples in unstructured, outdoor environments.	J. Field Robotics	2006	DBLP DOI BibTeX RDF
1	Yaile Caballero, Rafael Bello, Alberto Taboada, Ann Nowé, María M. García, Gladys Casas	A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality.	SYNASC	2006	DBLP DOI BibTeX RDF
1	Santiago Ontañón, Enric Plaza	Arguments and Counterexamples in Case-Based Joint Deliberation.	ArgMAS	2006	DBLP DOI BibTeX RDF
1	Petra Kudová, Terezie Sámalová	Sum and Product Kernel Regularization Networks.	ICAISC	2006	DBLP DOI BibTeX RDF
1	Dongwon Kim, Gwi-Tae Park	Modeling pH Neutralization Process Via Support Vector Machines.	IEA/AIE	2006	DBLP DOI BibTeX RDF
1	Ivan Bratko, Martin Mozina, Jure Zabkar	Argument-Based Machine Learning.	ISMIS	2006	DBLP DOI BibTeX RDF	CN2, Machine learning, argumentation, inductive logic programming, rule learning
1	Dongwon Kim, Gwi-Tae Park	Walking Pattern Analysis of Humanoid Robot Using Support Vector Regression.	KES	2006	DBLP DOI BibTeX RDF
1	Alec Pawling, Nitesh V. Chawla, Amitabh Chaudhary	Evaluation of Summarization Schemes for Learning in Streams.	PKDD	2006	DBLP DOI BibTeX RDF
1	Ernesto De Vito, Lorenzo Rosasco, Andrea Caponnetto, Umberto De Giovannini, Francesca Odone	Learning from Examples as an Inverse Problem.	Journal of Machine Learning Research	2005	DBLP BibTeX RDF
1	Valentina Bayer Zubek, Thomas G. Dietterich	Integrating Learning from Examples into the Search for Diagnostic Policies.	J. Artif. Intell. Res. (JAIR)	2005	DBLP DOI BibTeX RDF
1	Haiyi Zhang, Jin Lei	A positive extension matrix algorithm/sub AE18/ of learning from examples.	GrC	2005	DBLP DOI BibTeX RDF
1	Joseph T. Potts, Diane J. Cook, Lawrence B. Holder	Learning from Examples in a Single Graph.	FLAIRS Conference	2005	DBLP BibTeX RDF
1	Marek A. Perkowski, Tsutomu Sasao, Jong-Hwan Kim, Martin Lukac, Jeff Allen, Stefan Gebauer	Hahoe KAIST Robot Theatre: Learning Rules of Interactive Robot Behavior as a Multiple-Valued Logic Synthesis Problem.	ISMVL	2005	DBLP DOI BibTeX RDF
1	Marek Kulbacki, Bartosz Jablonski, Ryszard Klempous, Jakub Segen	Learning from Examples and Comparing Models of Human Motion.	JACIII	2004	DBLP BibTeX RDF
1	Thanupol Lerdlamnaochai, Boonserm Kijsirikul	First-Order Logical Neural Networks.	HIS	2004	DBLP DOI BibTeX RDF
1	Lucas Baggio Figueira, Maria do Carmo Nicoletti	Evaluating the effects of distance metrics on a NGE-based system.	SMC	2004	DBLP DOI BibTeX RDF
1	Jerzy W. Grzymala-Busse, Jay Hamilton, Zdzislaw S. Hippe	Diagnosis of Melanoma Using IRIM, a Data Mining System.	ICAISC	2004	DBLP DOI BibTeX RDF
1	Wojciech Jaworski	A Note on the Regularization Algorithm.	Rough Sets and Current Trends in Computing	2004	DBLP DOI BibTeX RDF	regularization algorithm, approximate regularization algorithm, computational learning theory
1	Mihaela Ulieru, A. C. S. Crichton, Marcelo Rizzi, Cynthia Karanicolas	Using soft computing to define standards of care in glaucoma monitoring.	Soft Comput.	2004	DBLP DOI BibTeX RDF	Fuzzy knowledge base, Soft competition, Consensus analysis, Standards of care, e-Health, Glaucoma
1	Sally A. Goldman, Stephen Kwek, Stephen D. Scott	Learning from examples with unspecified attribute values.	Inf. Comput.	2003	DBLP DOI BibTeX RDF
1	Yaowu Xu, Eli Saber, A. Murat Tekalp	Object segmentation and labeling by learning from examples.	IEEE Transactions on Image Processing	2003	DBLP DOI BibTeX RDF
1	Haiyi Zhang, JianDong Bi, Barbro Back	The Study on Algorithm AE11 of Learning from Examples.	IEA/AIE	2003	DBLP DOI BibTeX RDF
1	Patrizia Bonaventura, Marco Gori, Marco Maggini, Franco Scarselli, Jianqing Sheng	A Hybrid Model for the Prediction of the Linguistic Origin of Surnames.	IEEE Trans. Knowl. Data Eng.	2003	DBLP DOI BibTeX RDF	Dempster-Shafer's theory, speech synthesizers, surname classification, neural networks, hybrid systems
1	Emanuele Franceschi, Francesca Odone, Alessandro Verri	Statistical Learning Approaches with Application to Face Detection.	Advanced Studies in Biometrics	2003	DBLP DOI BibTeX RDF
1	Ignacio Rojas, Fernando Rojas, Olga Valenzuela, Alberto Prieto	The Synergy of GA and Fuzzy Systems for Multidimensional Problem: Application to Time Series Prediction.	CAEPIA	2003	DBLP DOI BibTeX RDF
1	Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe	Postprocessing of Rule Sets Induced from a Melanoma Data Set.	COMPSAC	2002	DBLP DOI BibTeX RDF
1	Lubos Popelínsky	Efficient Relational Learning from Sparse Data.	AIMSA	2002	DBLP DOI BibTeX RDF	database schema redesign, mining in spatial data, relational learning
1	Peter A. Flach, Nada Lavrac	Learning in Clausal Logic: A Perspective on Inductive Logic Programming.	Computational Logic: Logic Programming and Beyond	2002	DBLP DOI BibTeX RDF
1	Janusz Wnek	Machine Learning of Generalized Document Templates for Data Extraction.	Document Analysis Systems	2002	DBLP DOI BibTeX RDF
1	Lourdes Peña Castillo, Stefan Wrobel	On the Stability of Example-Driven Learning Systems: A Case Study in Multirelational Learning.	MICAI	2002	DBLP DOI BibTeX RDF
1	Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe	A Search for the Best Data Mining Method to Predict Melanoma.	Rough Sets and Current Trends in Computing	2002	DBLP DOI BibTeX RDF	melanoma prediction, ABCD formula, data mining, Rough set theory, discretization
1	Piotr Paszek, Alicja Wakulicz-Deja	The Application of Support Diagnose in Mitochondrial Encephalomyopathies.	Rough Sets and Current Trends in Computing	2002	DBLP DOI BibTeX RDF
1	Björn Johansson, Fredrik Kahl	Detecting Windows in City Scenes.	SVM	2002	DBLP DOI BibTeX RDF
1	Theodoros Evgeniou, Massimiliano Pontil	Learning Preference Relations from Data.	WIRN	2002	DBLP DOI BibTeX RDF	Preference relations, Statistical learning theory
1	Massimiliano Pontil	A Short Review of Statistical Learning Theory.	WIRN	2002	DBLP DOI BibTeX RDF	Regularization, Statistical learning theory, Structural risk minimization
1	Aurelio Uncini	Sound Synthesis by Flexible Activation Function Recurrent Neural Networks.	WIRN	2002	DBLP DOI BibTeX RDF	flexible activation function, spline neural networks, power-of-two neural networks, physical model, sound synthesis
1	Stuart A. Kurtz, Carl H. Smith, Rolf Wiehagen	On the role of search for learning from examples.	J. Exp. Theor. Artif. Intell.	2001	DBLP DOI BibTeX RDF
1	Peter Brusilovsky	WebEx: Learning from Examples in a Programming Course.	WebNet	2001	DBLP BibTeX RDF
1	Rachel L. Freeman, Jerzy W. Grzymala-Busse, Laura A. Riffel, Stephen R. Schroeder	Analyzing the Relation between Heart Rate, Problem Behavior, and Environmental Events Using Data Mining System LERS.	CBMS	2001	DBLP DOI BibTeX RDF
1	Danny Roobaert, Michael Zillich, Jan-Olof Eklundh	A Pure Learning Approach to Background-Invariant Object Recognition using Pedagogical Support Vector Learning.	CVPR	2001	DBLP DOI BibTeX RDF
1	David B. Skillicorn, Yu Wang	Parallel and Sequential Algorithms for Data Mining Using Inductive Logic.	Knowl. Inf. Syst.	2001	DBLP DOI BibTeX RDF	Bump hunting, Progol, Cost modeling, Covering, BSP, Inductive logic, Superlinear speedup, Bulk synchronous parallelism
1	Marek Brejl, Milan Sonka	Object Localization and Border Detection Criteria Design in Edge-Based Image Segmentation: Automated Learning from Examples.	IEEE Trans. Med. Imaging	2000	DBLP DOI BibTeX RDF
1	Jose C. Principe, Dongxin Xu, Qun Zhao, John W. Fisher	Learning from Examples with Information Theoretic Criteria.	VLSI Signal Processing	2000	DBLP DOI BibTeX RDF
1	Vinay P. Kumar, Tomaso Poggio	Learning-Based Approach to Real Time Tracking and Analysis of Faces.	FG	2000	DBLP DOI BibTeX RDF	Real-time, Learning, Facial Expressions
1	Elzbieta Pekalska, Robert P. W. Duin	Classifiers for Dissimilarity-Based Pattern Recognition.	ICPR	2000	DBLP DOI BibTeX RDF
1	Diane J. Cook, Lawrence B. Holder	Graph-Based Data Mining. (PDF / PS)	IEEE Intelligent Systems	2000	DBLP DOI BibTeX RDF
1	Jerzy W. Grzymala-Busse, Pankaj Shah	A Comparison of Rule Matching Methods Used in AQ15 and LERS.	ISMIS	2000	DBLP BibTeX RDF	rule truncation, AQ15, LERS, ten-fold cross validation, Wilcoxon matched-pairs signed rank test, rule induction, Knowledge discovery and data mining, classification systems
1	Giovanni Adorni, Stefano Cagnoni, Marco Gori	Adaptive Graphical Pattern Recognition Beyond Connectionist-Based Approaches.	SSPR/SPR	2000	DBLP DOI BibTeX RDF
1	Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio	Regularization Networks and Support Vector Machines.	Adv. Comput. Math.	2000	DBLP DOI BibTeX RDF	Support Vector Machines, regularization, Radial Basis Functions, Reproducing Kernel Hilbert Space, Structural Risk Minimization
1	Piotr Ejdys, Grzegorz Góra	The More We Learn the Less We Know? On Inductive Learning from Examples.	Fundam. Inform.	1999	DBLP DOI BibTeX RDF
1	Ingrid Fischer, Manuel Koch, Michael R. Berthold	Learning and Rewriting in Fuzzy Rule Graphs.	AGTIVE	1999	DBLP DOI BibTeX RDF
1	Jochen Nessel	Learnability of Enumerable Classes of Recursive Functions from "Typical" Examples.	ATL	1999	DBLP DOI BibTeX RDF
1	Francisco Botana	Learning Efficient Rulsets from Fuzzy Data with a Generic Algorithm.	IWANN	1999	DBLP DOI BibTeX RDF
1	Bernhard Schölkopf, Klaus-Robert Müller, Alex J. Smola	Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten.	Inform., Forsch. Entwickl.	1999	DBLP DOI BibTeX RDF	Maschinelles Lernen, Klassifikation, Mustererkennung, Merkmalsextraktion, Neuronale Netze, Kernmethoden, Ziffernerkennung, Zeitreihenprognose, Data Mining, Regression
1	Prasad Tadepalli, Stuart J. Russell	Learning from Examples and Membership Queries with Structured Determinations.	Machine Learning	1998	DBLP DOI BibTeX RDF
1	Ramon López de Mántaras, Eva Armengol	Machine Learning from Examples: Inductive and Lazy Methods.	Data Knowl. Eng.	1998	DBLP DOI BibTeX RDF
1	Robert Rae, Helge Ritter	Recognition of human head orientation based on artificial neural networks.	IEEE Transactions on Neural Networks	1998	DBLP DOI BibTeX RDF