Search results for "Classifier"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
37	Lei Chen 0017, Mohamed S. Kamel	Design of Multiple Classifier Systems for Time Series Data.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
37	Héla Zouari, Laurent Heutte, Yves Lecourtier, Adel M. Alimi	Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers.	Multiple Classifier Systems	2004	DBLP DOI BibTeX RDF
37	Hirotaka Inoue, Hiroyuki Narihisa	Improving Performance of a Multiple Classifier System Using Self-generating Neural Networks.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF
37	Matti Aksela	Comparison of Classifier Selection Methods for Improving Committee Performance.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF
37	Stephen P. Luttrell	A Markov Chain Approach to Multiple Classifier Fusion.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF
37	Jaepil Ko, Hyeran Byun	Binary Classifier Fusion Based on the Basic Decomposition Methods.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF
37	David Windridge, Josef Kittler	The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF
37	Widhyakorn Asdornwised, Somchai Jitapunkul	Automatic Target Recognition Using Multiple Description Coding Models for Multiple Classifier Systems.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF
37	Edward Jaser, Josef Kittler, William J. Christmas	Building Classifier Ensembles for Automatic Sports Classification.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF
37	David Windridge, Josef Kittler	On the General Application of the Tomographic Classifier Fusion Methodology.	Multiple Classifier Systems	2002	DBLP DOI BibTeX RDF
37	Marina Skurichina, Ludmila Kuncheva, Robert P. W. Duin	Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy.	Multiple Classifier Systems	2002	DBLP DOI BibTeX RDF
37	Jonathan E. Higgins, Tony J. Dodd, Robert I. Damper	Application of Multiple Classifier Techniques to Subband Speaker Identification with an HMM/ANN System.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
37	Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento	Automatic Classification of Clustered Microcalcifications by a Multiple Classifier System.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
37	Ching Y. Suen, Louisa Lam	Multiple Classifier Combination Methodologies for Different Output Levels.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
37	Niall Griffith, Derek Partridge	Self-Organizing Decomposition of Functions in the Context of a Unified Framework for Multiple Classifier Systems.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
37	Claudio Conversano, Roberta Siciliano, Francesco Mola	Supervised Classifier Combination through Generalized Additive Multi-model.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
37	John H. Holland, Lashon B. Booker, Marco Colombetti, Marco Dorigo, David E. Goldberg, Stephanie Forrest, Rick L. Riolo, Robert E. Smith 0001, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson	What Is a Learning Classifier System?	Learning Classifier Systems	1999	DBLP DOI BibTeX RDF
37	Tim Kovacs	Strength or Accuracy? Fitness Calculation in Learning Classifier Systems.	Learning Classifier Systems	1999	DBLP DOI BibTeX RDF	strong overgeneral classifiers, biased reward functions, accuracy-based fitness, complete covering maps, exploration, XCS
37	John H. Holmes	Learning Classifier Systems Applied to Knowledge Discovery in Clinical Research Databases.	Learning Classifier Systems	1999	DBLP DOI BibTeX RDF
37	Wolfgang Stolzmann, Martin V. Butz	Latent Learning and Action Planning in Robots with Anticipatory Classifier Systems.	Learning Classifier Systems	1999	DBLP DOI BibTeX RDF
37	Giorgio Corani, Marco Zaffalon	Lazy naive credal classifier.	KDD Workshop on Knowledge Discovery from Uncertain Data	2009	DBLP DOI BibTeX RDF	lazy credal classifier, naive credal classifier, imprecise probabilities
37	Naoto Abe, Mineichi Kudo, Jun Toyama, Masaru Shimbo	Classifier-independent feature selection on the basis of divergence criterion.	Pattern Anal. Appl.	2006	DBLP DOI BibTeX RDF	Classifier-independent feature selection, Garbage feature, J-divergence, Two-stage feature selection, Gaussian mixture, Bayes classifier
37	Xavier Llorà, Kumara Sastry, David E. Goldberg	Binary rule encoding schemes: a study using the compact classifier system.	GECCO Workshops	2005	DBLP DOI BibTeX RDF	binary rule encoding, compact classifier system, maximally general classifiers, learning classifier systems
37	Ludmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp, Robert P. W. Duin	Limits on the majority vote accuracy in classifier fusion.	Pattern Anal. Appl.	2003	DBLP DOI BibTeX RDF	Independence and dependence, Limits on majority, Diversity, Classifier combination, Majority vote, Classifier fusion
37	Derek Partridge, Niall Griffith	Multiple Classifier Systems: Software Engineered, Automatically Modular Leading to a Taxonomic Overview.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Classifier diversity, Classifier independence, MCS taxonomy, Modular subnets
37	Sriganesh Madhvanath, Venu Govindaraju	Serial classifier combination for handwritten word recognition.	ICDAR	1995	DBLP DOI BibTeX RDF	off-line handwritten word recognition algorithms, serial classifier combination, lexicon size, intrinsic recognition power, feature orthogonality, top-choice recognition rate, analytical word classifiers, high-performance holistic classifier, image classification, document image processing
37	Antoine Ting, Maylor K. H. Leung, Siu Cheung Hui, Kai-Yun Chan	A syntactic business form classifier.	ICDAR	1995	DBLP DOI BibTeX RDF	business form classifier, syntactic representation, information recorded, knowledge representation, knowledge acquisition, image classification, document image processing, classifier, experimental results, text, lines, structural information, business forms, boxes
37	Hansheng Lei, Venu Govindaraju	Half-Against-Half Multi-class Support Vector Machines.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
37	Suju Rajan, Joydeep Ghosh	Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
37	Samuel Chindaro, Konstantinos Sirlantzis, Michael C. Fairhurst	Analysis and Modelling of Diversity Contribution to Ensemble-Based Texture Recognition Performance.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
37	Derek R. Magee	A Sequential Scheduling Approach to Combining Multiple Object Classifiers Using Cross-Entropy.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF
37	Jörg Dahmen, Daniel Keysers, Hermann Ney	Combined Classification of Handwritten Digits Using the 'Virtual Test Sample Method'.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
37	Christian Dietrich 0002, Friedhelm Schwenker, Günther Palm	Classification of Time Series Utilizing Temporal and Decision Fusion.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
37	Patrice Latinne, Olivier Debeir, Christine Decaestecker	Limiting the Number of Trees in Random Forests.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
37	Marina Skurichina, Robert P. W. Duin	Bagging and the Random Subspace Method for Redundant Feature Spaces.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
37	Tin Kam Ho	Complexity of Classification Problems and Comparative Advantages of Combined Classifiers.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
37	Amin Nikanjam, Adel Torkaman Rahmani	An anticipatory approach to improve XCSF.	GECCO	2006	DBLP DOI BibTeX RDF	anticipatory classifier system, learning classifier system, function approximation, XCSF
37	Malcolm J. A. Strens, James F. Boyce	Constraint Directed Learning for Unsupervised Image Sequence Segmentation.	ICIP (1)	1997	DBLP DOI BibTeX RDF	image sequence segmentation, unsupervised classifier, input vectors clustering, constraint directed learning, classifier labelling decisions, boundary localisation, unsupervised learning, spatial correlation, feature space, feature vectors, infrared images, spatial context
35	Battista Biggio, Giorgio Fumera, Fabio Roli	Multiple Classifier Systems for Adversarial Classification Tasks.	MCS	2009	DBLP DOI BibTeX RDF
35	Kaspar Riesen, Horst Bunke	Classifier Ensembles for Vector Space Embedding of Graphs.	MCS	2007	DBLP DOI BibTeX RDF
35	Keng-Pei Lin, Ming-Syan Chen	Releasing the SVM Classifier with Privacy-Preservation.	ICDM	2008	DBLP DOI BibTeX RDF
35	Hidekata Hontani, Yoshihide Sawada	Stability evaluation of a classifier for detecting abdominal tumors in FDG-PET/CT images.	ICPR	2008	DBLP DOI BibTeX RDF
35	Kemal Polat, Ramazan Sekerci, Salih Günes	Artificial Immune Recognition System Based Classifier Ensemble on the Different Feature Subsets for Detecting the Cardiac Disorders from SPECT Images.	DEXA	2007	DBLP DOI BibTeX RDF
35	Pasquale Foggia, Gennaro Percannella, Carlo Sansone, Mario Vento	On Rejecting Unreliably Classified Patterns.	MCS	2007	DBLP DOI BibTeX RDF
35	Peter Pachowicz, Sung Wook Baik	Adaptive RBF Classifier for Object Recognition in Image Sequences.	IJCNN (6)	2000	DBLP DOI BibTeX RDF
35	Kyu Cheol Cho, Da Hye Park, Yong Beom Ma, Jong Sik Lee	Optimal Clustering-Based ART1 Classification in Bioinformatics: G-Protein Coupled Receptors Classification.	ICNC (1)	2006	DBLP DOI BibTeX RDF
34	Gilles Énée, Pierre Barbaroux	Adapted Pittsburgh-Style Classifier-System: Case-Study.	IWLCS	2002	DBLP DOI BibTeX RDF	Adapted Pittsburgh-style Classifier Systems, Spontaneous Coordination, Memory
34	Keiki Takadama, Takao Terano, Katsunori Shimohara	Learning Classifier Systems Meet Multiagent Environments.	IWLCS	2000	DBLP DOI BibTeX RDF	learning classifier syst em, non-Markov environment, multiagent system, organizational learning
34	Zhongkai Han, Chi Fang, Xiaoqing Ding	A discriminated correlation classifier for face recognition.	SAC	2010	DBLP DOI BibTeX RDF	FRGC2.0, correlation classifier, face recognition, discriminative learning
34	Nan-Chen Hsieh, Lun-Ping Hung, Chia-Ling Ho	A Data Driven Ensemble Classifier for Credit Scoring Analysis.	PAKDD	2009	DBLP DOI BibTeX RDF	class-wise classification, credit scoring system, Clustering, neural network, Bayesian network, ensemble classifier
34	Jan Drugowitsch, Alwyn Barry	A formal framework and extensions for function approximation in learning classifier systems.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Kalman filter, Learning classifier systems, Function approximation
34	Kemal Polat, Sebnem Yosunkaya, Salih Günes	Comparison of Different Classifier Algorithms on the Automated Detection of Obstructive Sleep Apnea Syndrome.	J. Medical Syst.	2008	DBLP DOI BibTeX RDF	Obstructive sleep apnea syndrome (OSAS), C4.5 Decision tree classifier, Artificial immune recognition system, Polysomnography, Artificial neural network, Adaptive neuro-fuzzy inference system
34	Juan José Rodríguez, Ludmila I. Kuncheva, Carlos J. Alonso	Rotation Forest: A New Classifier Ensemble Method.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	kappa-error diagrams, feature extraction, PCA, AdaBoost, bagging, Classifier ensembles, random forest
34	Rong Chen 0005, Edward Herskovits	A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis.	KDD	2005	DBLP DOI BibTeX RDF	Bayesian network, magnetic resonance image, classifier, Markov blanket
34	Yoshihiko Hamamoto, Shunji Uchimura, Shingo Tomita	A Bootstrap Technique for Nearest Neighbor Classifier Design.	IEEE Trans. Pattern Anal. Mach. Intell.	1997	DBLP DOI BibTeX RDF	peaking phenomenon, small training sample size, Bootstrap, outlier, error rate, nearest neighbor classifier, high dimensions
34	Albert Orriols-Puig, Ester Bernadó-Mansilla	Mining Imbalanced Data with Learning Classifier Systems.	Learning Classifier Systems in Data Mining	2008	DBLP DOI BibTeX RDF
34	Piero P. Bonissone, Kai Goebel, Weizhong Yan	Classifier Fusion Using Triangular Norms.	Multiple Classifier Systems	2004	DBLP DOI BibTeX RDF
34	Fabio Roli, Josef Kittler, Giorgio Fumera, Daniele Muntoni	An Experimental Comparison of Classifier Fusion Rules for Multimodal Personal Identity Verification Systems.	Multiple Classifier Systems	2002	DBLP DOI BibTeX RDF
34	Krassimir G. Ianakiev, Venu Govindaraju	Architecture for Classifier Combination Using Entropy Measures.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
34	Robert P. W. Duin, David M. J. Tax	Experiments with Classifier Combining Rules.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
34	Louisa Lam	Classifier Combinations: Implementations and Theoretical Issues.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
34	Jongyeol Kim, Kukhwan Seo, Kyusik Chung	A systematic approach to classifier selection on combining multiple classifiers for handwritten digit recognition.	ICDAR	1997	DBLP DOI BibTeX RDF	classifier selection method, optimal combination results, inter-classifier dependency, error generation, gradient feature set, structural feature set, up-down left-right hole feature set, mesh feature set, large stroke feature set, Borda count, linear confidence accumulation, neural net classifiers, similarity measure, character recognition, performance comparison, handwritten character recognition, majority voting, recognition rate, handwritten digit recognition, multiple classifiers, combination methods
33	Thomas C. W. Landgrebe, Pavel Paclík, David M. J. Tax, Robert P. W. Duin	Optimising Two-Stage Recognition Systems.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
33	Sergey Tulyakov, Venu Govindaraju	Using Independence Assumption to Improve Multimodal Biometric Fusion.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
33	Pavel Paclík, Thomas C. W. Landgrebe, David M. J. Tax, Robert P. W. Duin	On Deriving the Second-Stage Training Set for Trainable Combiners.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
33	Michael Muhlbaier, Apostolos Topalis, Robi Polikar	Ensemble Confidence Estimates Posterior Probability.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
33	Prem Melville, Nishit Shah, Lilyana Mihalkova, Raymond J. Mooney	Experiments on Ensembles with Missing and Noisy Data.	Multiple Classifier Systems	2004	DBLP DOI BibTeX RDF
33	Rozita A. Dara 0001, Mohamed S. Kamel	Sharing Training Patterns among Multiple Classifiers.	Multiple Classifier Systems	2004	DBLP DOI BibTeX RDF
33	Florin Cutzu	Polychotomous Classification with Pairwise Classifiers: A New Voting Principle.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF
33	Ludmila I. Kuncheva, Christopher J. Whitaker	Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse.	Multiple Classifier Systems	2002	DBLP DOI BibTeX RDF
33	Saso Dzeroski, Bernard Zenko	Stacking with Multi-response Model Trees.	Multiple Classifier Systems	2002	DBLP DOI BibTeX RDF
33	Dimitrios S. Frossyniotis, Andreas Stafylopatis	A Multi-SVM Classification System.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
33	Thomas Martini Jørgensen, Christian Linneberg	Feature Weighted Ensemble Classifiers - A Modified Decision Scheme.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
33	Jeevani Wickramaratna, Sean B. Holden, Bernard F. Buxton	Performance Degradation in Boosting.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
33	Marina Skurichina, Robert P. W. Duin	Boosting in Linear Discriminant Analysis.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
33	Weijian Wan, Donald Fraser	A Multiple Self-Organizing Map Scheme for Remote Sensing Classification.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
33	Stewart W. Wilson	Get Real! XCS with Continuous-Valued Inputs.	Learning Classifier Systems	1999	DBLP DOI BibTeX RDF
33	Shaun Saxon, Alwyn Barry	XCS and the Monk's Problems.	Learning Classifier Systems	1999	DBLP DOI BibTeX RDF
33	Ioan Buciu, Costas Kotropoulos, Ioannis Pitas	Comparison of ICA approaches for facial expression recognition.	Signal Image Video Process.	2009	DBLP DOI BibTeX RDF	Super-Gaussian distribution, Sub-Gaussian distribution, Nonlinear mixtures of independent sources, Cosine similarity measure classifier, Independent component analysis, Correlation, Mutual information, Facial expression recognition, Statistical significance, Kurtosis, Support vector machine classifier
33	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
33	Kevin S. Woods, W. Philip Kegelmeyer, Kevin W. Bowyer	Combination of Multiple Classifiers Using Local Accuracy Estimates.	IEEE Trans. Pattern Anal. Mach. Intell.	1997	DBLP DOI BibTeX RDF	dynamic classifier selection, local classifier accuracy, classifier fusion, ROC analysis, Combination of classifiers
32	Jonas Richiardi, Andrzej Drygajlo	Reliability-Based Voting Schemes Using Modality-Independent Features in Multi-classifier Biometric Authentication.	MCS	2007	DBLP DOI BibTeX RDF
32	Daniele Loiacono, Jan Drugowitsch, Alwyn Barry, Pier Luca Lanzi	Analysis and Improvements of the Classifier Error Estimate in XCSF.	IWLCS	2007	DBLP DOI BibTeX RDF
32	Zhi Zeng, Shengjin Wang, Xiaoqing Ding	Object Detection Via Fusion of Global Classifier and Part-Based Classifier.	ISNN (2)	2006	DBLP DOI BibTeX RDF
32	Xavier Llorà, Kumara Sastry, David E. Goldberg	Binary Rule Encoding Schemes: A Study Using the Compact Classifier System.	IWLCS	2005	DBLP DOI BibTeX RDF
32	Zhenyu Lu, Josh C. Bongard	Exploiting multiple classifier types with active learning.	GECCO	2009	DBLP DOI BibTeX RDF	adaptive informative sampling, active learning
32	V. Suresh Babu, P. Viswanath	Weighted k-Nearest Leader Classifier for Large Data Sets.	PReMI	2007	DBLP DOI BibTeX RDF	weighted leaders method, k-NNC, prototypes, noise elimination
32	Asli Celikyilmaz, I. Burhan Türksen, Ramazan Aktas, M. Mete Doganay, N. Basak Ceylan	A New Classifier Design with Fuzzy Functions.	RSFDGrC	2007	DBLP DOI BibTeX RDF	SVM, Fuzzy classification, fuzzy c-means clustering
32	Hee-Joong Kang, Moonwon Choo	Information-Theoretic Selection of Classifiers for Building Multiple Classifier Systems.	ICIC (1)	2005	DBLP DOI BibTeX RDF
32	Qinghua Hu, Daren Yu	Diversity Measure for Multiple Classifier Systems.	FSKD (1)	2005	DBLP DOI BibTeX RDF
32	Hakan Altinçay, Mübeccel Demirekler	Why Does Output Normalization Create Problems in Multiple Classifier Systems?	ICPR (2)	2002	DBLP DOI BibTeX RDF
32	Daniel Toth 0002, Alexandru Condurache, Til Aach	A Two-Stage-Classifier for Defect Classification in Optical Media Inspection.	ICPR (4)	2002	DBLP DOI BibTeX RDF
32	Hee-Joong Kang, Seong-Whan Lee	An Information-Theoretic Strategy for Constructing Multiple Classifier Systems.	ICPR	2000	DBLP DOI BibTeX RDF
32	Atsuhiro Takasu, Kenro Aihara	Variance based classifier comparison in text categorization.	SIGIR	2000	DBLP DOI BibTeX RDF
32	Zijian Zheng	Naive Bayesian Classifier Committees.	ECML	1998	DBLP DOI BibTeX RDF
31	Kyu Cheol Cho, Yong Beom Ma, Jong Sik Lee	Design of Computational Grid-based Intelligence ART1 Classification System for Bioinformatics Applications.	GCC Workshops	2006	DBLP DOI BibTeX RDF
31	Krzysztof Kryszczuk, Andrzej Drygajlo	Q-stack: Uni- and Multimodal Classifier Stacking with Quality Measures.	MCS	2007	DBLP DOI BibTeX RDF	statistical pattern classification, stacking, quality measures, classifier ensembles, confidence measures
31	Hakan Altinçay	Optimal resampling and classifier prototype selection in classifier ensembles using genetic algorithms.	Pattern Anal. Appl.	2004	DBLP DOI BibTeX RDF	Optimal resampling, Multiple prototype ensembles, Genetic algorithms, Diversity, Boosting, Bagging, Classifier ensembles
31	Luis Miramontes Hercog, Terence C. Fogarty	Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the "El Farol" Bar Problem.	IWLCS	2001	DBLP DOI BibTeX RDF	El Farol Bar problem, Multi-agent Systems, Learning Classifier Systems, XCS, emergent behaviour
31	Hangzai Luo, Jianping Fan 0001, Xiaodong Lin 0004, Aoying Zhou, Elisa Bertino	A distributed approach to enabling privacy-preserving model-based classifier training.	Knowl. Inf. Syst.	2009	DBLP DOI BibTeX RDF	Privacy-preserving classifier training, Synthetic samples, Adaptive EM algorithm