Search results for "Bagging"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
15	Krzysztof Trawinski, Arnaud Quirin, Oscar Cordón	Bi-criteria Genetic Selection of Bagging Fuzzy Rule-based Multiclassification Systems.	IFSA/EUSFLAT Conf.	2009	DBLP BibTeX RDF
15	My Chau Tu, Dongil Shin, Dongkyoo Shin	A Comparative Study of Medical Data Classification Methods Based on Decision Tree and Bagging Algorithms.	DASC	2009	DBLP DOI BibTeX RDF
15	Jing Guo, Xianjun Liao	Cross-Media Image Retrieval via Latent Semantic Indexing and Mixed Bagging.	CSIE (4)	2009	DBLP DOI BibTeX RDF
15	Xiang Zhang, Mingquan Zhou, Lili Dong, Na Ye	Design of Chinese Text Categorization Classifier Based on Attribute Bagging.	BIFE	2009	DBLP DOI BibTeX RDF
15	Shuichi Kurogi, Seitaro Sato, Kota Ichimaru	Speaker Recognition Using Pole Distribution of Speech Signals Obtained by Bagging CAN2.	ICONIP (1)	2009	DBLP DOI BibTeX RDF
15	Raffaella Folgieri	An experimental comparison of Random Projection ensembles with linear kernel SVMs and Bagging and BagBoosting methods for the classification of gene expression data.	WIRN	2009	DBLP DOI BibTeX RDF
15	Tara McIntosh, James R. Curran	Reducing Semantic Drift with Bagging and Distributional Similarity.	ACL/IJCNLP	2009	DBLP BibTeX RDF
15	Xingquan Zhu 0001, Ying Yang 0001	A lazy bagging approach to classification.	Pattern Recognit.	2008	DBLP DOI BibTeX RDF
15	Guo-Zheng Li 0001, Hao-Hua Meng, Wen-Cong Lu, Jack Y. Yang, Mary Qu Yang	Asymmetric bagging and feature selection for activities prediction of drug molecules.	BMC Bioinform.	2008	DBLP DOI BibTeX RDF
15	Zengyou He, Can Yang 0002, Weichuan Yu	Peak bagging for peptide mass fingerprinting.	Bioinform.	2008	DBLP DOI BibTeX RDF
15	Peng Zhang 0001, Zhiwang Zhang, Aihua Li, Yong Shi 0001	Global and Local (Glocal) Bagging Approach for Classifying Noisy Dataset.	Int. J. Softw. Informatics	2008	DBLP BibTeX RDF
15	Yong Fan 0001, Susan M. Resnick, Christos Davatzikos	Feature selection and classification of multiparametric medical images using bagging and SVM.	Medical Imaging: Image Processing	2008	DBLP DOI BibTeX RDF
15	Shawkat Ali 0001, Ben Pang, Kevin Tackle	Rule Based Base Classifier Selection for Bagging Algorithm.	DMIN	2008	DBLP BibTeX RDF
15	Shohei Hido, Hisashi Kashima	Roughly Balanced Bagging for Imbalanced Data.	SDM	2008	DBLP DOI BibTeX RDF
15	Naveen Aggarwal, Nupur Prakash, Sanjeev Sofat	Content Management System Effort Estimation Using Bagging Predictors.	EIAT/IETA	2008	DBLP DOI BibTeX RDF
15	Oscar Cordón, Arnaud Quirin, Luciano Sánchez	A first study on bagging fuzzy rule-based classification systems with multicriteria genetic selection of the component classifiers.	GEFS	2008	DBLP DOI BibTeX RDF
15	Shuo Shi, Yuhai Liu, Yuehua Huang, Shihua Zhu, Yong Liu	Active Learning for kNN Based on Bagging Features.	ICNC (7)	2008	DBLP DOI BibTeX RDF
15	Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng, Anwitaman Datta	Classification in P2P Networks by Bagging Cascade RSVMs.	DBISP2P	2008	DBLP BibTeX RDF
15	Zhiwen Yu 0002, Hau-San Wong	Image classification based on the bagging-adaboost ensemble.	ICME	2008	DBLP DOI BibTeX RDF
15	Renata M. C. R. de Souza, André dos S. Sabóia	Bagging for a Region Oriented Symbolic Classifier.	HIS	2008	DBLP DOI BibTeX RDF	oriented approach, classification, interval data, symbolic data analysis, symbolic data
15	Oscar Cordón, Arnaud Quirin, Luciano Sánchez	On the Use of Bagging, Mutual Information-Based Feature Selection and Multicriteria Genetic Algorithms to Design Fuzzy Rule-Based Classification Ensembles.	HIS	2008	DBLP DOI BibTeX RDF
15	Christophe Croux, Kristel Joossens, Aurélie Lemmens	Trimmed bagging.	Comput. Stat. Data Anal.	2007	DBLP DOI BibTeX RDF
15	Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Using boosting to prune bagging ensembles.	Pattern Recognit. Lett.	2007	DBLP DOI BibTeX RDF
15	Tianwen Zhao, Qijun Zhao, Hongtao Lu, David Zhang 0001	Bagging Evolutionary Feature Extraction Algorithm for Classification.	ICNC (3)	2007	DBLP DOI BibTeX RDF
15	Ruqing Chen, Jinshou Yu	An Improved Bagging Neural Network Ensemble Algorithm and Its Application.	ICNC (5)	2007	DBLP DOI BibTeX RDF
15	Pawalai Kraipeerapun, Chun Che Fung, Kok Wai Wong	Ensemble Neural Networks Using Interval Neutrosophic Sets and Bagging.	ICNC (1)	2007	DBLP DOI BibTeX RDF
15	Kristína Machova, Miroslav Puszta, Frantisek Barcák, Peter Bednár	A comparison of the bagging and the boosting methods using the decision trees classifiers.	Comput. Sci. Inf. Syst.	2006	DBLP DOI BibTeX RDF
15	Fei Xia, Lap Cheung	Features, Bagging, and System Combination for the Chinese POS Tagging Task.	SIGHAN@COLING/ACL	2006	DBLP BibTeX RDF
15	Mingmin Chi, Lorenzo Bruzzone	A semilabeled-sample-driven bagging technique for ill-posed classification problems.	IEEE Geosci. Remote. Sens. Lett.	2005	DBLP DOI BibTeX RDF
15	Torsten Hothorn, Berthold Lausen	Bundling classifiers by bagging trees.	Comput. Stat. Data Anal.	2005	DBLP DOI BibTeX RDF
15	Yoshiaki Yasumura, Naho Kitani, Kuniaki Uehara	Integration of Bagging and Boosting with a New Reweighting Technique.	CIMCA/IAWTIC	2005	DBLP DOI BibTeX RDF
15	Nikunj C. Oza	Online bagging and boosting.	SMC	2005	DBLP DOI BibTeX RDF
15	Amer J. AlBaghdadi, Fuad M. Alkoot	Bagging KNN Classifiers using Different Expert Fusion Strategies.	PRIS	2005	DBLP BibTeX RDF
15	Herbert K. H. Lee, Merlise A. Clyde	Lossless Online Bayesian Bagging.	J. Mach. Learn. Res.	2004	DBLP BibTeX RDF
15	Ying Huang, Jun Cai, Liang Ji, Yanda Li	Classifying G-protein coupled receptors with bagging classification tree.	Comput. Biol. Chem.	2004	DBLP DOI BibTeX RDF
15	Robert K. Bryll, Ricardo Gutierrez-Osuna, Francis K. H. Quek	Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets.	Pattern Recognit.	2003	DBLP DOI BibTeX RDF
15	Torsten Hothorn, Berthold Lausen	Double-bagging: combining classifiers by bootstrap aggregation.	Pattern Recognit.	2003	DBLP DOI BibTeX RDF
15	Nitesh V. Chawla, Thomas E. Moore, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer, Clayton Springer	Distributed learning with bagging-like performance.	Pattern Recognit. Lett.	2003	DBLP DOI BibTeX RDF
15	Torsten Hothorn, Berthold Lausen	Bagging tree classifiers for laser scanning images: a data- and simulation-based strategy.	Artif. Intell. Medicine	2003	DBLP DOI BibTeX RDF
15	Sandrine Dudoit, Jane Fridlyand	Bagging to Improve the Accuracy of A Clustering Procedure.	Bioinform.	2003	DBLP DOI BibTeX RDF
15	Amine Bermak, Dominique Martinez	A compact 3D VLSI classifier using bagging threshold network ensembles.	IEEE Trans. Neural Networks	2003	DBLP DOI BibTeX RDF
15	Roberto Esposito, Lorenza Saitta	Monte Carlo Theory as an Explanation of Bagging and Boosting.	IJCAI	2003	DBLP BibTeX RDF
15	Ludmila Kuncheva, Marina Skurichina, Robert P. W. Duin	An experimental study on diversity for bagging and boosting with linear classifiers.	Inf. Fusion	2002	DBLP DOI BibTeX RDF
15	Jimmy Shadbolt	The Bootstrap, Bagging and Ensembles.	Neural Networks and the Financial Markets	2002	DBLP DOI BibTeX RDF
15	Torsten Hothorn, Berthold Lausen	Bagging Tree Classifiers for Glaucoma Diagnosis.	COMPSTAT	2002	DBLP DOI BibTeX RDF
15	Jerzy Stefanowski	Bagging and Induction of Decision Rules.	Intelligent Information Systems	2002	DBLP BibTeX RDF
15	Shinjae Lee, Sungzoon Cho	Smoothed Bagging with Kernel Bandwidth Selectors.	Neural Process. Lett.	2001	DBLP DOI BibTeX RDF
15	Jonathan Cheung-Wai Chan, Chengquan Huang, Ruth S. DeFries	Enhanced algorithm performance for land cover classification from remotely sensed data using bagging and boosting.	IEEE Trans. Geosci. Remote. Sens.	2001	DBLP DOI BibTeX RDF
15	Leo Breiman	Using Iterated Bagging to Debias Regressions.	Mach. Learn.	2001	DBLP DOI BibTeX RDF
15	Ramazan Gencay, Min Qi	Pricing and hedging derivative securities with neural networks: Bayesian regularization, early stopping, and bagging.	IEEE Trans. Neural Networks	2001	DBLP DOI BibTeX RDF
15	Bernard Zenko, Ljupco Todorovski, Saso Dzeroski	A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods.	ICDM	2001	DBLP DOI BibTeX RDF
15	Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer	Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction.	BIOKDD	2001	DBLP BibTeX RDF
15	Merlise Clyde, Herbert Lee	Bagging and the Bayesian Bootstrap.	AISTATS	2001	DBLP BibTeX RDF
15	Nikunj C. Oza, Stuart Russell 0001	Online Bagging and Boosting.	AISTATS	2001	DBLP BibTeX RDF
15	Thomas G. Dietterich	An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization.	Mach. Learn.	2000	DBLP DOI BibTeX RDF
15	Aleksander Kolcz	N-tuple Network, CART, and Bagging.	Neural Comput.	2000	DBLP DOI BibTeX RDF
15	John C. Henderson, Eric Brill	Bagging and Boosting a Treebank Parser	CoRR	2000	DBLP BibTeX RDF
15	John C. Henderson, Eric Brill	Bagging and Boosting a Treebank Parser.	ANLP	2000	DBLP BibTeX RDF
15	David H. Wolpert, William G. Macready	An Efficient Method To Estimate Bagging's Generalization Error.	Mach. Learn.	1999	DBLP DOI BibTeX RDF
15	Eric Bauer, Ron Kohavi	An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants.	Mach. Learn.	1999	DBLP DOI BibTeX RDF
15	Marina Skurichina, Robert P. W. Duin	Bagging for linear classifiers.	Pattern Recognit.	1998	DBLP DOI BibTeX RDF
15	Cheryl Fairfield Estill, K. H. E. Kroemer	Evaluation of Supermarket Bagging Using a Wrist Motion Monitor.	Hum. Factors	1998	DBLP DOI BibTeX RDF
15	Bruce A. Draper, Kyungim Baek	Bagging in Computer Vision.	CVPR	1998	DBLP DOI BibTeX RDF
15	Naoki Abe, Hiroshi Mamitsuka	Query Learning Strategies Using Boosting and Bagging.	ICML	1998	DBLP BibTeX RDF
15	David W. Opitz, Richard Maclin	An empirical evaluation of bagging and boosting for artificial neural networks.	ICNN	1997	DBLP DOI BibTeX RDF
15	Pedro M. Domingos	Why Does Bagging Work? A Bayesian Account and its Implications.	KDD	1997	DBLP BibTeX RDF
15	Richard Maclin, David W. Opitz	An Empirical Evaluation of Bagging and Boosting.	AAAI/IAAI	1997	DBLP BibTeX RDF
15	Leo Breiman	Bagging Predictors.	Mach. Learn.	1996	DBLP DOI BibTeX RDF
15	J. Ross Quinlan	Bagging, Boosting, and C4.5.	AAAI/IAAI, Vol. 1	1996	DBLP BibTeX RDF
15	Tom Heskes	Balancing Between Bagging and Bumping.	NIPS	1996	DBLP BibTeX RDF
10	Chi-Hoon Lee	Learning to combine discriminative classifiers: confidence based.	KDD	2010	DBLP DOI BibTeX RDF	classification, logistic regression, ensemble learning
10	Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Statistical Instance-Based Pruning in Ensembles of Independent Classifiers.	IEEE Trans. Pattern Anal. Mach. Intell.	2009	DBLP DOI BibTeX RDF
10	Dengyuan Wu, Ying Liu 0039, Ge Gao, Zhendong Mao, Weishan Ma, Tao He	An adaptive ensemble classifier for concept drifting stream.	CIDM	2009	DBLP DOI BibTeX RDF
10	Barry Y. Chen, Tracy D. Lemmond, William G. Hanley	Building ultra-low false alarm rate Support Vector Classifier ensembles using Random Subspaces.	CIDM	2009	DBLP DOI BibTeX RDF
10	Christophe Marsala	Data mining with ensembles of fuzzy decision trees.	CIDM	2009	DBLP DOI BibTeX RDF
10	Xavier Ceamanos, Björn Waske, Jón Atli Benediktsson, Jocelyn Chanussot, Johannes R. Sveinsson	Ensemble Strategies for Classifying Hyperspectral Remote Sensing Data.	MCS	2009	DBLP DOI BibTeX RDF	classifier ensmeble, support vector machines, multiple classifier systems, hyperspectral, land cover classification
10	Amir Ahmad, Gavin Brown 0001	A Study of Random Linear Oracle Ensembles.	MCS	2009	DBLP DOI BibTeX RDF	Clusters, Naive Bayes, Classifier Ensemble, Subclasses
10	Matthew Prior, Terry Windeatt	Improved Uniformity Enforcement in Stochastic Discrimination.	MCS	2009	DBLP DOI BibTeX RDF
10	Sourour Ammar, Philippe Leray 0001, Boris Defourny, Louis Wehenkel	Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks.	ECSQARU	2009	DBLP DOI BibTeX RDF
10	Chunmei Wu, Jiansheng Wu	An Effective Hybrid GA-PP Strategy for Artificial Neural Network Ensemble and Its Application Stock Market Forecasting.	ISNN (2)	2009	DBLP DOI BibTeX RDF	Projection pursuit technology, Genetic algorithm, Artificial neural network, Logistic regress
10	Lei Su, Hongzhi Liao, Zhengtao Yu 0001, Jiahua Tang	Semi-supervised Learning with Multimodal Perturbation.	ISNN (1)	2009	DBLP DOI BibTeX RDF	Multimodal Perturbation, Machine Learning, Semi-Supervised Learning, Ensemble Learning, Co-training
10	Ajay Kumar Tanwani, M. Jamal Afridi, M. Zubair Shafiq, Muddassar Farooq	Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets.	EvoBIO	2009	DBLP DOI BibTeX RDF	Biomedical Datasets, Machine Learning, Classification
10	Bo Ning 0003, Xianbin Cao 0001, Yanwu Xu 0001, Jun Zhang 0007	Virus-evolutionary genetic algorithm based selective ensemble classifier for pedestrian detection.	GEC Summit	2009	DBLP DOI BibTeX RDF	virus-evolutionary genetic algorithm, classifier, pedestrian detection, selective ensemble
10	Shiliang Sun	Traffic flow forecasting based on multitask ensemble learning.	GEC Summit	2009	DBLP DOI BibTeX RDF	multitask learning, traffic flow forecasting, neural network, ensemble learning
10	Kazuyuki Hara, Yoichi Nakayama, Seiji Miyoshi, Masato Okada	Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory.	ICANN (1)	2009	DBLP DOI BibTeX RDF
10	Wei Zhang 0014, Akshat Surve, Xiaoli Z. Fern, Thomas G. Dietterich	Learning non-redundant codebooks for classifying complex objects.	ICML	2009	DBLP DOI BibTeX RDF
10	Zhiyong Lin, Zhifeng Hao, Xiaowei Yang, Xiaolan Liu	Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning.	ADMA	2009	DBLP DOI BibTeX RDF	Imbalanced data learning, Under-sampling, SVM, Ensemble
10	Amal Saleh Ghanem, Svetha Venkatesh, Geoff A. W. West	Classifying Multiple Imbalanced Attributes in Relational Data.	Australasian Conference on Artificial Intelligence	2009	DBLP DOI BibTeX RDF
10	Kun Zhang 0012, Wei Fan 0001	Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond.	Knowl. Inf. Syst.	2008	DBLP DOI BibTeX RDF	Skewed distribution, Streaming, Probability estimation, Random decision tree, Sample selection bias
10	Ángela Blanco, Manuel Martín-Merino, Javier De Las Rivas	Ensemble of Support Vector Machines to Improve the Cancer Class Prediction Based on the Gene Expression Profiles.	Innovations in Hybrid Intelligent Systems	2008	DBLP DOI BibTeX RDF
10	Duy-Dinh Le, Shin'ichi Satoh 0001	Unsupervised Face Annotation by Mining the Web.	ICDM	2008	DBLP DOI BibTeX RDF
10	Mohamed Farouk Abdel Hady, Friedhelm Schwenker	Co-training by Committee: A New Semi-supervised Learning Framework.	ICDM Workshops	2008	DBLP DOI BibTeX RDF
10	Pierre Besson, Olivier Colliot, Alan C. Evans, Andrea Bernasconi	Automatic detection of subtle focal cortical dysplasia using surface-based features on MRI.	ISBI	2008	DBLP DOI BibTeX RDF
10	Takahiro Shinozaki, Tatsuya Kawahara	GMM and HMM training by aggregated EM algorithm with increased ensemble sizes for robust parameter estimation.	ICASSP	2008	DBLP DOI BibTeX RDF
10	Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura	Classification by bagged consistent itemset rules.	ICPR	2008	DBLP DOI BibTeX RDF
10	Taner Danisman, Adil Alpkocak	Emotion Classification of Audio Signals Using Ensemble of Support Vector Machines.	PIT	2008	DBLP DOI BibTeX RDF
10	Yue Liu, Yafeng Yin, Zaixia Teng, Qi Wu, Guozheng Li 0001	Activities Prediction of Drug Molecules by Using the Optimal Ensemble Based on Uniform Design.	ICIC (1)	2008	DBLP DOI BibTeX RDF	Uniform Design, Neural Network Ensemble, Drug Design
10	Amin Assareh, Mohammad Hassan Moradi 0001, L. Gwenn Volkert	A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification.	EvoBIO	2008	DBLP DOI BibTeX RDF
10	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
10	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