Search results for "Classifiers"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
67	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
62	Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed S. Kamel	Diversity-based combination of non-parametric classifiers for EMG signal decomposition.	Pattern Anal. Appl.	2008	DBLP DOI BibTeX RDF	Classifier agreement, EMG signal decomposition, Motor unit potential classification, Non-parametric base classifiers, Classifier fusion, Diversity measure
54	Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa	Performance evaluation of pattern classifiers for handwritten character recognition.	Int. J. Document Anal. Recognit.	2002	DBLP DOI BibTeX RDF	Neural networks, Pattern classification, Handwritten character recognition, Handwritten digit recognition, Discriminative learning, Statistical classifiers, Outlier rejection
50	Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa	Effects of Classifier Structures and Training Regimes on Integrated Segmentation and Recognition of Handwritten Numeral Strings.	IEEE Trans. Pattern Anal. Mach. Intell.	2004	DBLP DOI BibTeX RDF	integrated segmentation and recognition, noncharacter resistance, character classification, neural classifiers, discriminative density models, support vector classifiers, Numeral string recognition
50	Tadeusz Pietraszek	On the use of ROC analysis for the optimization of abstaining classifiers.	Mach. Learn.	2007	DBLP DOI BibTeX RDF	Abstaining classifiers, Cautious classifiers, ROC analysis, Cost-sensitive classification
50	Hakan Altinçay	On the independence requirement in Dempster-Shafer theory for combining classifiers providing statistical evidence.	Appl. Intell.	2006	DBLP DOI BibTeX RDF	Dempster’s combination rule, Independent classifiers, Dependent classifiers, Pattern classification, Dempster-Shafer theory, Classifier combination
50	Sholom M. Weiss	Small Sample Error Rate Estimation for k-NN Classifiers.	IEEE Trans. Pattern Anal. Mach. Intell.	1991	DBLP DOI BibTeX RDF	k-NN classifiers, bootstrap estimators, cross-validation estimators, error-rate estimators, pattern recognition, pattern recognition, statistics, Monte Carlo methods, Monte Carlo simulations, estimation theory, nearest-neighbor classifiers, leaving-one-out
50	Dechang Chen, Dong Hua, Konstantinos Sirlantzis, Xiaobin Ma	On the Relation Between Dependence and Diversity in Multiple Classifier Systems.	ITCC (1)	2005	DBLP DOI BibTeX RDF	Independent classifiers, Kappa statistic, Pearson’s chi-square statistic, Diversity, Classifier combination
49	Michael D. Muhlbaier, Apostolos Topalis, Robi Polikar	Learn++.NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes.	IEEE Trans. Neural Networks	2009	DBLP DOI BibTeX RDF
46	Lin-Cheng Wang, LipChen Alex Chan, Nasser M. Nasrabadi, Sandor Z. Der	Combination of Two Learning Algorithms for Automatic Target Recognition.	ICIP (1)	1997	DBLP DOI BibTeX RDF	hierarchical neural network architecture, composite classifiers, component classifiers, real forward-looking infrared imagery, cascade architecture, standard classifier fusion algorithms, military vehicles, statistical learning algorithms, performance, image recognition, multilayer perceptron, automatic target recognition, computational complexity reduction, ATR
46	Jing-Hao Xue, D. M. Titterington	Comment on "On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes".	Neural Process. Lett.	2008	DBLP DOI BibTeX RDF	Asymptotic relative efficiency, Discriminative classifiers, Generative classifiers, Normal-based discriminant analysis, Naïve Bayes classifier, Logistic regression
46	Jun Cao 0003, Malayappan Shridhar, Majid Ahmadi	Fusion of classifiers with fuzzy integrals.	ICDAR	1995	DBLP DOI BibTeX RDF	evidence fusion technique, multiple character classifiers, source evidence, performance matrices, fuzzy logic, character recognition, handwriting recognition, handwritten character recognition, large data set, classifiers fusion, fuzzy integrals, robust algorithm
46	Ryan J. Prenger, Tracy D. Lemmond, Kush R. Varshney, Barry Y. Chen, William G. Hanley	Class-specific error bounds for ensemble classifiers.	KDD	2010	DBLP DOI BibTeX RDF	cost-specific, classifiers, ensemble
46	Jesús Cerquides, Ramón López de Mántaras	Maximum a Posteriori Tree Augmented Naive Bayes Classifiers.	Discovery Science	2004	DBLP DOI BibTeX RDF	decomposable distributions, Bayesian networks, Naive Bayes, Bayesian network classifiers, Bayesian model averaging
42	Robert Sabourin, Ginette Genest	An extended-shadow-code based approach for off-line signature verification. II. Evaluation of several multi-classifier combination strategies.	ICDAR	1995	DBLP DOI BibTeX RDF	off-line signature verification, multi-classifier combination, integrated classifiers, minimum distance classifiers, random forgeries, handwriting recognition, pattern classification, handwriting
42	Seong-Whan Lee, Jong Soo Kim	Multi-lingual, multi-font and multi-size large-set character recognition using self-organizing neural network.	ICDAR	1995	DBLP DOI BibTeX RDF	multilingual multi font large set character recognition, nonlinear shape normalization, dot density, hierarchical features, coarse classification, hierarchical tree classifier, SOFM/LVQ based classifier, adaptive SOFM coarse classifier, LVQ4 language classifiers, fine classification, recognition experiments, 486 DX-2 66 MHz PC, daptive SOFM coarse classifier, LVQ4 fine classifiers, feature extraction, character recognition, natural languages, image classification, trees (mathematics), execution time, linguistics, recognition rate, self-organising feature maps, self organizing neural network
42	Cinthia Obladen de Almendra Freitas, João Marques de Carvalho, José Josemar de Oliveira Jr., Simone B. K. Aires, Robert Sabourin	Confusion Matrix Disagreement for Multiple Classifiers.	CIARP	2007	DBLP DOI BibTeX RDF	classifiers diversity, pattern recognition, handwriting recognition, multiple classifiers systems
42	Marina Skurichina, Robert P. W. Duin	Bagging, Boosting and the Random Subspace Method for Linear Classifiers.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Training sample size, Boosting, Bagging, Combining classifiers, Random subspaces, Linear classifiers
42	James C. Bezdek, Ludmila Kuncheva	Some Notes on Twenty One (21) Nearest Prototype Classifiers.	SSPR/SPR	2000	DBLP DOI BibTeX RDF	data condensation and editing, nearest prototype classifiers, post-supervision, pre-supervision, nearest neighbor classifiers
42	Robert R. Bailey, Mandyam D. Srinath	Orthogonal Moment Features for Use With Parametric and Non-Parametric Classifiers.	IEEE Trans. Pattern Anal. Mach. Intell.	1996	DBLP DOI BibTeX RDF	Orthogonal moments, feature selection, shape recognition, handwritten character recognition, Zernike moments, neural network classifiers, statistical classifiers
42	Dymitr Ruta, Bogdan Gabrys	A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Error distribution, Multistage organisations, Generalisation, Majority voting, Combining classifiers, Margin
41	Jerzy Stefanowski	Combining Answers of Sub-classifiers in the Bagging-Feature Ensembles.	RSEISP	2007	DBLP DOI BibTeX RDF	aggregation rules, machine learning, feature selection, bagging, multiple classifiers
41	Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas 0001	Methods for adaptive combination of classifiers with application to recognition of handwritten characters.	Int. J. Document Anal. Recognit.	2003	DBLP DOI BibTeX RDF	Adaptation, Combining classifiers, Committee, Handwritten characters
41	Ahmed Hussein, Eugene Santos Jr.	Exploring Case-Based Bayesian Networks and Bayesian Multi-nets for Classification.	Canadian AI	2004	DBLP DOI BibTeX RDF
41	Nicolás García-Pedrajas	Constructing Ensembles of Classifiers by Means of Weighted Instance Selection.	IEEE Trans. Neural Networks	2009	DBLP DOI BibTeX RDF
41	Min Fang	A Novel Multiple Classifiers Integration Algorithm with Pruning Function.	FSKD (2)	2008	DBLP DOI BibTeX RDF
41	Yu-Chang Tzeng	Remote Sensing Images Classification/Data Fusion Using Distance Weighted Multiple Classifiers Systems.	PDCAT	2006	DBLP DOI BibTeX RDF
41	Edith Cohen, Carsten Lund	Packet classification in large ISPs: design and evaluation of decision tree classifiers.	SIGMETRICS	2005	DBLP DOI BibTeX RDF	routing, decision trees, packet filtering, access control lists
38	Luciano Barbosa, Juliana Freire	Combining classifiers to identify online databases.	WWW	2007	DBLP DOI BibTeX RDF	hierarchical classifiers, online database directories, web crawlers, hidden web, learning classifiers
38	Saso Dzeroski, Bernard Zenko	Is Combining Classifiers with Stacking Better than Selecting the Best One?	Mach. Learn.	2004	DBLP DOI BibTeX RDF	multi-response model trees, stacking, meta-learning, combining classifiers, ensembles of classifiers
38	Tsutomu Matsunaga, Hiromi Kida	An experimental study of learning curves for statistical pattern classifiers.	ICDAR	1995	DBLP DOI BibTeX RDF	statistical pattern classifiers, pattern distributions, misclassification, pattern classification, learning curves, asymptotic behaviors, pattern classifiers, training samples
38	Luiz S. Oliveira, Marisa E. Morita, Robert Sabourin	Feature selection for ensembles applied to handwriting recognition.	Int. J. Document Anal. Recognit.	2006	DBLP DOI BibTeX RDF	Genetic algorithms, Feature selection, Multi-objective optimization, Handwriting recognition, Ensemble of classifiers
37	Yushi Jing, Vladimir Pavlovic 0001, James M. Rehg	Boosted Bayesian network classifiers.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Ensemble models, AdaBoost, Structure learning, Bayesian network classifiers
37	Haochang Wang, Tiejun Zhao, Jianmiao Liu	Multi-Agent Classifiers Fusion Strategy for Biomedical Named Entity Recognition.	BMEI (1)	2008	DBLP DOI BibTeX RDF	biomedical named entity recognition, multi-agent, classifiers fusion
37	Raisa Socorro, Luisa Micó	Use of Structured Pattern Representations for Combining Classifiers.	SSPR/SPR	2008	DBLP DOI BibTeX RDF	string representation, k-NN rule, edit distance, combining classifiers, tree representation
37	Yusuke Nojima, Hisao Ishibuchi	Effects of Diversity Measures on the Design of Ensemble Classifiers by Multiobjective Genetic Fuzzy Rule Selection with a Multi-classifier Coding Scheme.	HAIS	2008	DBLP DOI BibTeX RDF	Ensemble Classifiers, Genetic Fuzzy Systems, Diversity Measures
37	Sandeep Mane, Jaideep Srivastava, San-Yih Hwang	Estimating missed actual positives using independent classifiers.	KDD	2005	DBLP DOI BibTeX RDF	capture-recapture method, conditional independence of classifiers given class label, conditional independence of features given class label, conditional mutual information, false negative
37	Andreas L. Prodromidis, Salvatore J. Stolfo	Cost Complexity-Based Pruning of Ensemble Classifiers.	Knowl. Inf. Syst.	2001	DBLP DOI BibTeX RDF	Classifier evaluation, Credit card fraud detection, Pruning, Distributed data mining, Meta-learning, Ensembles of classifiers
37	Chi-Hoon Lee	Learning to combine discriminative classifiers: confidence based.	KDD	2010	DBLP DOI BibTeX RDF	classification, logistic regression, ensemble learning
37	Rebecca Castaño, Dominic Mazzoni, Nghia Tang, Ronald Greeley, Thomas Doggett, Benjamin Cichy, Steve A. Chien, Ashley Davies	Onboard classifiers for science event detection on a remote sensing spacecraft.	KDD	2006	DBLP DOI BibTeX RDF	constrained processing environment, classification, support vector machine
37	Hisao Ishibuchi, Yusuke Nojima	Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers.	HIS	2005	DBLP DOI BibTeX RDF
37	Alexey Tsymbal, Seppo Puuronen, David W. Patterson	Feature Selection for Ensembles of Simple Bayesian Classifiers.	ISMIS	2002	DBLP DOI BibTeX RDF
37	David M. J. Tax, Robert P. W. Duin	Combining One-Class Classifiers.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
37	Jie Cheng, Russell Greiner	Learning Bayesian Belief Network Classifiers: Algorithms and System.	AI	2001	DBLP DOI BibTeX RDF
37	Hee-Joong Kang, Seong-Whan Lee	Experimental Results on the Construction of Multiple Classifiers Recognizing Handwritten Numerals.	ICDAR	2001	DBLP DOI BibTeX RDF
34	Jens Gregor, Michael G. Thomason	Hybrid Pattern Recognition Using Markov Networks.	IEEE Trans. Pattern Anal. Mach. Intell.	1993	DBLP DOI BibTeX RDF	hybrid pattern recognition, learning strings, string-to-network alignments, structural characteristics, nonparametric decision-theoretic pattern classifiers, class membership, linear discriminant-function classifiers, maximum-likelihood classifier, string orientation, human banded chromosomes, pattern recognition, similarity measures, Markov processes, decision theory, biology computing, biology computing, nonparametric statistics, Markov networks, nearest-neighbor rule
34	Luc Devroye	Automatic Pattern Recognition: A Study of the Probability of Error.	IEEE Trans. Pattern Anal. Mach. Intell.	1988	DBLP DOI BibTeX RDF	automatic pattern recognition, training sequence, kernel-based rules, histogram rules, binary tree classifiers, Fourier series classifiers, artificial intelligence, artificial intelligence, probability, probability, computerised pattern recognition, error statistics, error statistics, nearest-neighbor rules, linear discriminators
33	Paulo Fernandes 0001, Lucelene Lopes, Duncan Dubugras A. Ruiz	The impact of random samples in ensemble classifiers.	SAC	2010	DBLP DOI BibTeX RDF	accuracy comparison, machine learning, boosting, random samples, bagging, ensemble classifiers
33	Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.	Ensemble of HMM classifiers based on the clustering validity index for a handwritten numeral recognizer.	Pattern Anal. Appl.	2009	DBLP DOI BibTeX RDF	Codebook size, Pattern recognition, Hidden Markov Models, Ensemble of classifiers, Clustering validity index
33	Linda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser	Aligning Bayesian Network Classifiers with Medical Contexts.	MLDM	2009	DBLP DOI BibTeX RDF	learning Bayesian network classifiers, medical alignment, logistic regression
33	Dimitris A. Karras, Basil G. Mertzios	On the Integration of Neural Classifiers through Similarity Analysis of Higher Order Features.	ICDM	2009	DBLP DOI BibTeX RDF	Combination of Neural classifiers, higher order features, hybrid and modular structures, statistical moments, similarity, shape recognition, feature extraction methods, committee machines
33	Justin Talbot, Bongshin Lee, Ashish Kapoor, Desney S. Tan	EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers.	CHI	2009	DBLP DOI BibTeX RDF	caltech-101, interactive machine learning, visualization, object recognition, ensemble classifiers
33	Sérgio Pinheiro dos Santos, José Alfredo F. Costa	A Comparison between Hybrid and Non-hybrid Classifiers in Diagnosis of Induction Motor Faults.	CSE	2008	DBLP DOI BibTeX RDF	Machine learning, Faults detection, Induction motors, Multi-classifiers systems
33	Liangxiao Jiang, Dianhong Wang, Zhihua Cai	Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate.	ICIC (2)	2007	DBLP DOI BibTeX RDF	Laplace estimate, classification, m-estimate, probability estimation, Bayesian network classifiers
33	Ali Borji	Combining Heterogeneous Classifiers for Network Intrusion Detection.	ASIAN	2007	DBLP DOI BibTeX RDF	Intrusion Detection, PCA, Anomaly Detection, Combined Classifiers, Misuse Detection
33	Jesús Cerquides, Ramón López de Mántaras	TAN Classifiers Based on Decomposable Distributions.	Mach. Learn.	2005	DBLP DOI BibTeX RDF	tree augmented naive Bayes, decomposable distributions, Bayesian networks, naive Bayes, Bayesian network classifiers, Bayesian model averaging
33	Gladys Castillo, João Gama 0001	Bias Management of Bayesian Network Classifiers.	Discovery Science	2005	DBLP DOI BibTeX RDF	Bias Management, Machine Learning, Bayesian Classifiers
33	Cuong Anh Le, Van-Nam Huynh, Akira Shimazu	An Evidential Reasoning Approach to Weighted Combination of Classifiers for Word Sense Disambiguation.	MLDM	2005	DBLP DOI BibTeX RDF	Weighted combination of classifiers, Computational linguistics, Word sense disambiguation, Dempster-Shafer theory of evidence
33	Louis Vuurpijl, Lambert Schomaker, Merijn van Erp	Architectures for detecting and solving conflicts: two-stage classification and support vector classifiers.	Int. J. Document Anal. Recognit.	2003	DBLP DOI BibTeX RDF	Two-stage classification, Support vector classifiers, Character recognition, Hierarchical clustering, Multiple classifier systems
33	L. Bovino, Giovanni Dimauro, Sebastiano Impedovo	On the combination of ${\it abstract-level}$ classifiers.	Int. J. Document Anal. Recognit.	2003	DBLP DOI BibTeX RDF	Abstract-level classifiers, Multiclassifier systems, Classification, Similarity, Combination methods
33	Sarunas Raudys, Ray L. Somorjai, Richard Baumgartner	Reducing the Overconfidence of Base Classifiers when Combining Their Decisions.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF	multiple classification systems, fusion rule, BKS method, local classifiers, apparent error, complexity, sample size, stacked generalization
33	Alejandro Murua	Upper Bounds for Error Rates of Linear Combinations of Classifiers.	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	Exponential bounds, weakly dependent classifiers, machine learning, classification trees
33	Jihene El Malek, Rached Tourki, Adel M. Alimi	Effect of the Feature Vector Size on the Generalization Error: The Case of MLPNN and RBFNN Classifiers.	ICPR	2000	DBLP DOI BibTeX RDF	K_NN classifiers, Classification, High dimensionality, Generalization error, Neuronal Networks
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
33	Jun Yang 0003, Alexander G. Hauptmann	(Un)Reliability of video concept detection.	CIVR	2008	DBLP DOI BibTeX RDF	generalizability, SVMs, kNN, video concept detection
33	Nguyen Thanh Tri, Le Minh Nguyen 0001, Akira Shimazu	Improving the Accuracy of Question Classification with Machine Learning.	RIVF	2007	DBLP DOI BibTeX RDF
33	Matthew Prior, Terry Windeatt	An Ensemble Dependence Measure.	ICANN (1)	2007	DBLP DOI BibTeX RDF
33	Michael R. Peterson, Travis E. Doom, Michael L. Raymer	GA-facilitated KNN classifier optimization with varying similarity measures.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
33	Joanna Jedrzejowicz, Piotr Jedrzejowicz	GEP-Induced Expression Trees as Weak Classifiers.	ICDM	2008	DBLP DOI BibTeX RDF	classification, ensemble methods, gene expression programming
33	Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal	Boosting adaptive linear weak classifiers for online learning and tracking.	CVPR	2008	DBLP DOI BibTeX RDF
33	Mete Ozay, Fatos Tünay Yarman Vural	On the Performance of Stacked Generalization Classifiers.	ICIAR	2008	DBLP DOI BibTeX RDF	pattern recognition, parallel computing, ensemble learning, Stacked generalization
33	Arnt-Børre Salberg, Alfred Hanssen, Louis L. Scharf	Robust Multidimensional Matched Subspace Classifiers Based on Weighted Least-Squares.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
33	Sungha Choi, Byungwoo Lee, Jihoon Yang	Ensembles of Region Based Classifiers.	CIT	2007	DBLP DOI BibTeX RDF
33	Murat Dundar, Jinbo Bi	Joint Optimization of Cascaded Classifiers for Computer Aided Detection.	CVPR	2007	DBLP DOI BibTeX RDF
33	Song Mao, Praveer Mansukhani, George R. Thoma	Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents.	CVPR	2007	DBLP DOI BibTeX RDF
33	Bin Wang 0004, Gareth J. F. Jones, Wenfeng Pan	Using online linear classifiers to filter spam emails.	Pattern Anal. Appl.	2006	DBLP DOI BibTeX RDF	Online linear classifier, Anti-spam filtering, Perceptron, Winnow
33	Stavroula G. Mougiakakou, Ioannis K. Valavanis, Alexandra Nikita, Konstantina S. Nikita	Computer Aided Diagnosis of CT Focal Liver Lesions based on Texture Features, Feature Selection and Ensembles of Classifiers.	AIAI	2006	DBLP DOI BibTeX RDF
33	Shirish S. Sane, Ashok A. Ghatol	Using Instance Typicality to Build Compact and Accurate Neural Network Classifiers.	ICDIM	2006	DBLP DOI BibTeX RDF
33	Niloofar Arshadi, Igor Jurisica	An Ensemble of Case-Based Classifiers for High-Dimensional Biological Domains.	ICCBR	2005	DBLP DOI BibTeX RDF
33	Hee-Joong Kang	Selection of Classifiers Using Information-Theoretic Criteria.	ICAPR (1)	2005	DBLP DOI BibTeX RDF
33	Cheng-Lin Liu, Hongwei Hao, Hiroshi Sako	Confidence Transformation for Combining Classifiers.	Pattern Anal. Appl.	2004	DBLP DOI BibTeX RDF	Confidence transformation, Pattern classification, Logistic regression, Classifier combination, Gaussian modeling, Evidence combination
33	Doina Caragea, Dianne Cook, Vasant G. Honavar	Towards Simple, Easy-to-Understand, yet Accurate Classifiers.	ICDM	2003	DBLP DOI BibTeX RDF
33	Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana	Simple Mimetic Classifiers.	MLDM	2003	DBLP DOI BibTeX RDF	comprehensibility in machine learning, decision trees, stacking, rule extraction, multi-classifier systems
33	Hisao Ishibuchi, Takashi Yamamoto	Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers.	GECCO	2003	DBLP DOI BibTeX RDF
33	Qun Sun, Xiuzhen Zhang 0001, Kotagiri Ramamohanarao	Noise Tolerance of EP-Based Classifiers.	Australian Conference on Artificial Intelligence	2003	DBLP DOI BibTeX RDF	EP-based classifier, Classification, Noise, Overfitting, Knowledge Discovery and Data Mining
33	Alexey Tsymbal, Seppo Puuronen	Bagging and Boosting with Dynamic Integration of Classifiers.	PKDD	2000	DBLP DOI BibTeX RDF
33	João Gama 0001	Combining Classifiers by Constructive Induction.	ECML	1998	DBLP DOI BibTeX RDF
30	Carey E. Priebe	Olfactory Classification via Interpoint Distance Analysis.	IEEE Trans. Pattern Anal. Mach. Intell.	2001	DBLP DOI BibTeX RDF	interpoint distance, rank statistic, subsample statistic, functional data, artificial nose, analytical chemistry, nearest-neighbor, combining classifiers, Ensemble classifiers, electronic nose, nonparametric, chemometrics
29	Yasser El-Manzalawy, Vasant G. Honavar	MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio.	Discovery Science	2009	DBLP DOI BibTeX RDF	drug activity prediction, ensemble of multiple-instance learning classifiers, boosted multiple-instance learning, image retrieval, multiple-instance learning
29	Adam Schmidt, Andrzej J. Kasinski	The Performance of Two Deformable Shape Models in the Context of the Face Recognition.	ICCVG	2008	DBLP DOI BibTeX RDF	active shapes, normal bayes classifiers, face recognition
29	Sotiris B. Kotsiantis, Dimitris Kanellopoulos	Combining Bagging, Boosting and Dagging for Classification Problems.	KES (2)	2007	DBLP DOI BibTeX RDF	data mining, Machine learning, ensembles of classifiers
29	Luca Bertelli, Rita Cucchiara, Giovanni Paternostro, Andrea Prati 0001	A semi-automatic system for segmentation of cardiac M-mode images.	Pattern Anal. Appl.	2006	DBLP DOI BibTeX RDF	Hidden Markov chains, Multiclassifier, Cardiac imaging, Neural network, Performance evaluation, Image segmentation, Bayesian classifiers
29	Behzad Moshiri, Parisa Memar Moshrefi, Maryam Emami, Majid Kazemian	Application of OWA Based Classifier Fusion in Diagnosis and Treatment offering for Female Urinary Incontinence.	Australian Conference on Artificial Intelligence	2006	DBLP DOI BibTeX RDF	Urinary incontinence, OWA, Classifiers combination, Confusion matrix
29	Glenn Fung, Sathyakama Sandilya, R. Bharat Rao	Rule extraction from linear support vector machines.	KDD	2005	DBLP DOI BibTeX RDF	mathematical programming, rule extraction, linear classifiers, medical decision-support
29	Steven J. Simske, Dalong Li, Jason S. Aronoff	A statistical method for binary classification of images.	ACM Symposium on Document Engineering	2005	DBLP DOI BibTeX RDF	image classification, normal, classifier, combined classifiers, binary classification
29	Kyungmi Lee, Vladimir Estivill-Castro	A Hybrid Classification Approach to Ultrasonic Shaft Signals.	Australian Conference on Artificial Intelligence	2004	DBLP DOI BibTeX RDF	Industrial applications of AI, Multimodel systems, Pattern analysis in signals, Machine learning, feature extraction, ensemble of classifiers
29	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
29	S. T. Kim, K. Suwunboriruksa, S. Herath, Anura P. Jayasumana, Jayantha A. Herath	Algorithmic Transformations for Neural Computing and Performance of Supervised Learning on a Dataflow Machine.	IEEE Trans. Software Eng.	1992	DBLP DOI BibTeX RDF	reprogrammable dataflow neural classifiers, neural-dataflow transformations, dataflow algorithmic transformations, dataflow multiprocessors, high level data dependency, machine executable low-level dataflow graph, tagged token dataflow algorithmic transformation, performance evaluation, performance, parallel architectures, supervised learning, neural nets, granularity, learning systems, functional languages, neural computing, computerized pattern recognition, algorithmic transformations, dataflow machine
29	Mojdeh Jalali Heravi, Osmar R. Zaïane	A study on interestingness measures for associative classifiers.	SAC	2010	DBLP DOI BibTeX RDF	interestingness measures, associative classifiers
29	Loris Nanni, Alessandra Lumini	Machine learning multi-classifiers for peptide classification.	Neural Comput. Appl.	2009	DBLP DOI BibTeX RDF	Two-class pattern recognition problem, One-class classifier, Fusion of classifiers