Search results for "bagging"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
97	Albert Bifet, Geoffrey Holmes 0001, Bernhard Pfahringer, Ricard Gavaldà	Improving Adaptive Bagging Methods for Evolving Data Streams.	ACML	2009	DBLP DOI BibTeX RDF
94	Giorgio Fumera, Fabio Roli, Alessandra Serrau	A Theoretical Analysis of Bagging as a Linear Combination of Classifiers.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	pattern classification, Bagging, Multiple Classifier Systems, Classifier Fusion, Linear Combiners
86	Marina Skurichina, Robert P. W. Duin	The Role of Combining Rules in Bagging and Boosting.	SSPR/SPR	2000	DBLP DOI BibTeX RDF
76	Qu-Tang Cai, Chunyi Peng 0001, Chang-shui Zhang	A weighted subspace approach for improving bagging performance.	ICASSP	2008	DBLP DOI BibTeX RDF
76	Petrônio L. Braga, Adriano L. I. Oliveira, Gustavo H. T. Ribeiro, Silvio R. L. Meira	Bagging Predictors for Estimation of Software Project Effort.	IJCNN	2007	DBLP DOI BibTeX RDF
74	Yves Grandvalet	Bagging Equalizes Influence.	Mach. Learn.	2004	DBLP DOI BibTeX RDF	leverage, bias/variance, bagging, influence
66	Hamoud Aljamaan, Mahmoud O. Elish	An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software.	CIDM	2009	DBLP DOI BibTeX RDF
66	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
66	Guo-Zheng Li 0001, Tian-Yu Liu	Feature Selection for Bagging of Support Vector Machines.	PRICAI	2006	DBLP DOI BibTeX RDF
66	Anneleen Van Assche, Hendrik Blockeel	Bagging Using Statistical Queries.	ECML	2006	DBLP DOI BibTeX RDF
66	Alexey Tsymbal, Seppo Puuronen	Bagging and Boosting with Dynamic Integration of Classifiers.	PKDD	2000	DBLP DOI BibTeX RDF
64	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
64	Guo-Zheng Li 0001, Hao-Hua Meng, Mary Qu Yang, Jack Y. Yang	Asymmetric Bagging and Feature Selection for Activities Prediction of Drug Molecules.	IMSCCS	2007	DBLP DOI BibTeX RDF	Feature Selection, Ensemble Learning, Bagging, QSAR, QSAR
64	Zhi-Hua Zhou, Yang Yu 0001	Adapt Bagging to Nearest Neighbor Classifiers.	J. Comput. Sci. Technol.	2005	DBLP DOI BibTeX RDF	Minkowsky distance, value difference metric, data mining, machine learning, nearest neighbor, ensemble learning, bagging
59	Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer	A Comparison of Decision Tree Ensemble Creation Techniques.	IEEE Trans. Pattern Anal. Mach. Intell.	2007	DBLP DOI BibTeX RDF	performance evaluation, boosting, bagging, Classifier ensembles, random forests, random subspaces
56	Yanfang Ye 0001, Lifei Chen, Dingding Wang 0001, Tao Li 0001, Qingshan Jiang, Min Zhao	SBMDS: an interpretable string based malware detection system using SVM ensemble with bagging.	J. Comput. Virol.	2009	DBLP DOI BibTeX RDF
56	Yi Zhang 0006, W. Nick Street	Bagging with Adaptive Costs.	IEEE Trans. Knowl. Data Eng.	2008	DBLP DOI BibTeX RDF	Data mining, Mining methods and algorithms
56	Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu 0001	VoB predictors: Voting on bagging classifications.	ICPR	2008	DBLP DOI BibTeX RDF
56	Rocío Alaíz-Rodríguez	Local Decision Bagging of Binary Neural Classifiers.	Canadian AI	2008	DBLP DOI BibTeX RDF
56	Fernanda L. Minku, Xin Yao 0001	On-line bagging Negative Correlation Learning.	IJCNN	2008	DBLP DOI BibTeX RDF
56	Ian Davidson, Wei Fan 0001	When Efficient Model Averaging Out-Performs Boosting and Bagging.	PKDD	2006	DBLP DOI BibTeX RDF
56	Eibe Frank, Bernhard Pfahringer	Improving on Bagging with Input Smearing.	PAKDD	2006	DBLP DOI BibTeX RDF
56	Guo-Zheng Li 0001, Tian-Yu Liu, Victor S. Cheng	Classification of Brain Glioma by Using SVMs Bagging with Feature Selection.	BioDM	2006	DBLP DOI BibTeX RDF
56	Giorgio Fumera, Fabio Roli, Alessandra Serrau	Dynamics of Variance Reduction in Bagging and Other Techniques Based on Randomisation.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
56	Rafael Pino-Mejías, María-Dolores Cubiles-de-la-Vega, Manuel López-Coello, Esther-Lydia Silva-Ramírez, María-Dolores Jiménez-Gamero	Bagging Classification Models with Reduced Bootstrap.	SSPR/SPR	2004	DBLP DOI BibTeX RDF
56	Inês de Castro Dutra, David Page, Vítor Santos Costa, Jude W. Shavlik	An Empirical Evaluation of Bagging in Inductive Logic Programming.	ILP	2002	DBLP DOI BibTeX RDF
56	Yves Grandvalet	Bagging Can Stabilize without Reducing Variance.	ICANN	2001	DBLP DOI BibTeX RDF
54	Tadeusz Lasota, Zbigniew Telec, Bogdan Trawinski, Krzysztof Trawinski	Exploration of Bagging Ensembles Comprising Genetic Fuzzy Models to Assist with Real Estate Appraisals.	IDEAL	2009	DBLP DOI BibTeX RDF	bagging ensembles, real estate appraisal, KEEL, regression models, genetic fuzzy systems
54	Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga	Two Bagging Algorithms with Coupled Learners to Encourage Diversity.	IDA	2007	DBLP DOI BibTeX RDF	Ensemble Diversity, Out-of-bag Estimation, Neural Networks, Bagging, Ensemble Methods, Regression Estimators
54	Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga	Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples.	CIARP	2007	DBLP DOI BibTeX RDF	Neural Networks, Diversity, Bagging, Ensemble Methods, Classification Algorithms
54	Dacheng Tao, Xiaoou Tang, Xuelong Li 0001, Xindong Wu 0001	Asymmetric Bagging and Random Subspace for Support Vector Machines-Based Relevance Feedback in Image Retrieval.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	Classifier committee learning, asymmetric bagging, support vector machines, relevance feedback, content-based image retrieval, random subspace
54	Hongjian Fan, Ming Fan, Kotagiri Ramamohanarao, Mengxu Liu	Further Improving Emerging Pattern Based Classifiers Via Bagging.	PAKDD	2006	DBLP DOI BibTeX RDF	classification, ensemble learning, bagging, emerging patterns
54	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
51	Yuk Lai Suen, Prem Melville, Raymond J. Mooney	Combining Bias and Variance Reduction Techniques for Regression Trees.	ECML	2005	DBLP DOI BibTeX RDF
51	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
51	Zijian Zheng	Generating Classifier Commitees by Stochastically Selecting both Attributes and Training Examples.	PRICAI	1998	DBLP DOI BibTeX RDF
49	Peijun Du, Wei Zhang 0156, Hao Sun	Multiple Classifier Combination for Hyperspectral Remote Sensing Image Classification.	MCS	2009	DBLP DOI BibTeX RDF	hyperspectral remote sensing, boosting, bagging, classifier ensemble, evidence theory, Multiple classifier combination
49	M. A. H. Akhand, Kazuyuki Murase	Neural Network Ensemble Training by Sequential Interaction.	ICANN (1)	2007	DBLP DOI BibTeX RDF	diversity and generalization, boosting, Bagging, negative correlation learning
46	Joaquín Abellán, Andrés R. Masegosa	An Experimental Study about Simple Decision Trees for Bagging Ensemble on Datasets with Classification Noise.	ECSQARU	2009	DBLP DOI BibTeX RDF	credal sets, imprecise Dirichlet model, ensemble decision trees, classification, Imprecise probabilities, uncertainty measures
46	Pawalai Kraipeerapun, Chun Che Fung, Sathit Nakkrasae	Porosity Prediction Using Bagging of Complementary Neural Networks.	ISNN (1)	2009	DBLP DOI BibTeX RDF
46	Tadeusz Lasota, Zbigniew Telec, Bogdan Trawinski, Krzysztof Trawinski	A Multi-agent System to Assist with Real Estate Appraisals Using Bagging Ensembles.	ICCCI	2009	DBLP DOI BibTeX RDF
46	Xingquan Zhu 0001, Chengyi Bao, Weidong Qiu	Bagging very weak learners with lazy local learning.	ICPR	2008	DBLP DOI BibTeX RDF
46	Dimitris N. Politis	Bagging Multiple Comparisons from Microarray Data.	ISBRA	2008	DBLP DOI BibTeX RDF
46	Ibai Gurrutxaga, Jesús M. Pérez, Olatz Arbelaitz, Javier Muguerza, José Ignacio Martín, Ander Ansuategi	CTC: An Alternative to Extract Explanation from Bagging.	CAEPIA	2007	DBLP DOI BibTeX RDF
46	Bailing Zhang, Tuan D. Pham, Yanchun Zhang	Bagging Support Vector Machine for Classification of SELDI-ToF Mass Spectra of Ovarian Cancer Serum Samples.	Australian Conference on Artificial Intelligence	2007	DBLP DOI BibTeX RDF
46	Yi Li, Baochang Zhang 0001, Shiguang Shan, Xilin Chen 0001, Wen Gao 0001	Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition.	ICPR (3)	2006	DBLP DOI BibTeX RDF
46	Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Pruning in ordered bagging ensembles.	ICML	2006	DBLP DOI BibTeX RDF
46	Yi Zhang 0006, W. Nick Street	Bagging with Adaptive Costs.	ICDM	2005	DBLP DOI BibTeX RDF
46	Bruno Caprile, Stefano Merler, Cesare Furlanello, Giuseppe Jurman	Exact Bagging with k-Nearest Neighbour Classifiers.	Multiple Classifier Systems	2004	DBLP DOI BibTeX RDF
46	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
46	Masahiro Terabe, Takashi Washio, Hiroshi Motoda	S3Bagging: Fast Classifier Induction Method with Subsampling and Bagging.	IDA	2001	DBLP DOI BibTeX RDF
46	Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer	Bagging Is a Small-Data-Set Phenomenon.	CVPR (2)	2001	DBLP DOI BibTeX RDF
46	Yves Grandvalet	Bagging Down-Weights Leverage Points.	IJCNN (4)	2000	DBLP DOI BibTeX RDF
46	Hiromitsu Nishimura, Makoto Kobayashi, Minoru Maruyama, Yasuaki Nakano	Off-line Character Recognition using HMM by Multiple Directional Feature Extraction and Voting with Bagging Algorithm.	ICDAR	1999	DBLP DOI BibTeX RDF
44	Aleksandar Lazarevic, Vipin Kumar 0001	Feature bagging for outlier detection.	KDD	2005	DBLP DOI BibTeX RDF	feature subsets, integration, outlier detection, bagging, false alarm, detection rate
44	Saharon Rosset	Robust boosting and its relation to bagging.	KDD	2005	DBLP DOI BibTeX RDF	robust fitting, boosting, bagging
41	Xiaoyan Tao, Hongbing Ji, Zhiqiang Ma	Proximal SVM Ensemble Based on Feature Selection.	ICNC (1)	2006	DBLP DOI BibTeX RDF
41	Clifton Phua, Damminda Alahakoon, Vincent C. S. Lee	Minority report in fraud detection: classification of skewed data.	SIGKDD Explor.	2004	DBLP DOI BibTeX RDF	multiple classifier systems, fraud detection, meta-learning
41	Giorgio Valentini	Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias?Variance Analysis.	Multiple Classifier Systems	2004	DBLP DOI BibTeX RDF
41	Hyun-Chul Kim, Shaoning Pang, Hong-Mo Je, Daijin Kim 0001, Sung Yang Bang	Pattern Classification Using Support Vector Machine Ensemble.	ICPR (2)	2002	DBLP DOI BibTeX RDF
41	R. Mike Cameron-Jones, Linda Richards	Repechage Bootstrap Aggregating for Misclassification Cost Reduction.	PRICAI	1998	DBLP DOI BibTeX RDF
41	Zijian Zheng, Geoffrey I. Webb	Stochastic Attribute Selection Committees.	Australian Joint Conference on Artificial Intelligence	1998	DBLP DOI BibTeX RDF
38	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
38	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
38	Sung Woo Shin, Kun Chang Lee, Süleyman Bilgin Kiliç	Ensemble Prediction of Commercial Bank Failure Through Diversification of Input Features.	Australian Conference on Artificial Intelligence	2006	DBLP DOI BibTeX RDF	ensemble prediction, financial data mining, feature selection, bagging, stacked generalization, Bankruptcy prediction
38	Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff	Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers.	Mach. Learn.	2004	DBLP DOI BibTeX RDF	combinations of machines, stability, bagging, cross-validation
38	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
38	Alan Fern, Robert Givan	Online Ensemble Learning: An Empirical Study.	Mach. Learn.	2003	DBLP DOI BibTeX RDF	decision trees, boosting, online learning, branch prediction, ensemble learning, bagging
38	Patrice Latinne, Olivier Debeir, Christine Decaestecker	Combining Different Methods and Numbers of Weak Decision Trees.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Decision trees, Boosting, Ensemble learning, Bagging, Random subspaces
36	Md. Monirul Islam, Xin Yao 0001, S. M. Shahriar Nirjon, Muhammad Asiful Islam, Kazuyuki Murase	Bagging and Boosting Negatively Correlated Neural Networks.	IEEE Trans. Syst. Man Cybern. Part B	2008	DBLP DOI BibTeX RDF
36	Zhong Yi Sun 0003, Denis Rivière, Edouard Duchesnay, Bertrand Thirion, Fabrice Poupon, Jean-François Mangin	Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging.	ISBI	2008	DBLP DOI BibTeX RDF
36	Marcin Gabryel, Leszek Rutkowski	Evolutionary Methods for Designing Neuro-fuzzy Modular Systems Combined by Bagging Algorithm.	ICAISC	2008	DBLP DOI BibTeX RDF
36	Satoshi Shirai, Mineichi Kudo, Atsuyoshi Nakamura	Bagging, Random Subspace Method and Biding.	SSPR/SPR	2008	DBLP DOI BibTeX RDF
36	Chuan Lu, Andy Devos, Johan A. K. Suykens, Carles Arús, Sabine Van Huffel	Bagging Linear Sparse Bayesian Learning Models for Variable Selection in Cancer Diagnosis.	IEEE Trans. Inf. Technol. Biomed.	2007	DBLP DOI BibTeX RDF
36	Pance Panov, Saso Dzeroski	Combining Bagging and Random Subspaces to Create Better Ensembles.	IDA	2007	DBLP DOI BibTeX RDF
36	Shuichi Kurogi, Ryohei Koyama, Shinya Tanaka, Toshihisa Sanuki	Forecasting Using First-Order Difference of Time Series and Bagging of Competitive Associative Nets.	IJCNN	2007	DBLP DOI BibTeX RDF
36	Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez 0001	Selection of Decision Stumps in Bagging Ensembles.	ICANN (1)	2007	DBLP DOI BibTeX RDF
36	Shuichi Kurogi, Naoko Nedachi, Yuki Funatsu	Reproduction and Recognition of Vowel Signals Using Single and Bagging Competitive Associative Nets.	ICONIP (2)	2007	DBLP DOI BibTeX RDF
36	Yunhong Wang, Yiding Wang, Anil K. Jain 0001, Tieniu Tan	Face Verification Based on Bagging RBF Networks.	ICB	2006	DBLP DOI BibTeX RDF
36	Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Pruning in Ordered Regression Bagging Ensembles.	IJCNN	2006	DBLP DOI BibTeX RDF
36	Alípio Jorge, Paulo J. Azevedo	An Experiment with Association Rules and Classification: Post-Bagging and Conviction.	Discovery Science	2005	DBLP DOI BibTeX RDF
36	Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana	Bagging Decision Multi-trees.	Multiple Classifier Systems	2004	DBLP DOI BibTeX RDF
36	Klaus Hechenbichler, Gerhard Tutz 0001	Bagging, Boosting and Ordinal Classification.	GfKl	2004	DBLP DOI BibTeX RDF
36	Bernd Fischer 0003, Joachim M. Buhmann	Bagging for Path-Based Clustering.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	Clustering, resampling, color segmentation
36	Kelvin T. Leung, Douglas Stott Parker Jr.	Empirical comparisons of various voting methods in bagging.	KDD	2003	DBLP DOI BibTeX RDF	model reconciliation, voting, ensemble classification
36	Hyun-Chul Kim, Shaoning Pang, Hong-Mo Je, Daijin Kim 0001, Sung Yang Bang	Support Vector Machine Ensemble with Bagging.	SVM	2002	DBLP DOI BibTeX RDF
36	Philip Derbeko, Ran El-Yaniv, Ron Meir	Variance Optimized Bagging.	ECML	2002	DBLP DOI BibTeX RDF
36	Marina Skurichina, Robert P. W. Duin	Bagging and the Random Subspace Method for Redundant Feature Spaces.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
36	Nikunj C. Oza, Stuart Russell 0001	Experimental comparisons of online and batch versions of bagging and boosting.	KDD	2001	DBLP DOI BibTeX RDF
36	Pierre Geurts	Some Enhencements of Decision Tree Bagging.	PKDD	2000	DBLP DOI BibTeX RDF
34	Sathit Nakkrasae, Pawalai Kraipeerapun, Somkid Amornsamankul, Chun Che Fung	Bagging of Complementary Neural Networks with Double Dynamic Weight Averaging.	SNPD	2010	DBLP DOI BibTeX RDF	Complementary Neural Networks, Diversity, Ensemble, Bagging, Backpropagation Neural Network
34	Stéphan Clémençon, Marine Depecker, Nicolas Vayatis	Bagging Ranking Trees.	ICMLA	2009	DBLP DOI BibTeX RDF	Bipartite ranking, ROC optimization, consensus ranking, decision trees, bagging, rank aggregation
31	Honoka Irie, Isao Hayashi	pdi-Bagging: A Proposal of Bagging-Type Ensemble Method Generating Virtual Data.	ICAART (3)	2023	DBLP DOI BibTeX RDF
31	David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano, Alireza Fazelpour	Select-Bagging: Effectively Combining Gene Selection and Bagging for Balanced Bioinformatics Data.	BIBE	2014	DBLP DOI BibTeX RDF
31	Periklis A. Papakonstantinou, Jia Xu 0004, Zhu Cao	Bagging by Design (on the Suboptimality of Bagging).	AAAI	2014	DBLP DOI BibTeX RDF
30	Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez 0001	An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation.	IEEE Trans. Pattern Anal. Mach. Intell.	2009	DBLP DOI BibTeX RDF
30	Albert D. Shieh, David F. Kamm	Ensembles of One Class Support Vector Machines.	MCS	2009	DBLP DOI BibTeX RDF
30	Albert Bifet, Geoffrey Holmes 0001, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà	New ensemble methods for evolving data streams.	KDD	2009	DBLP DOI BibTeX RDF	decision trees, data streams, concept drift, ensemble methods
30	Debrup Chakraborty	Neural Network Ensembles from Training Set Expansions.	CIARP	2009	DBLP DOI BibTeX RDF
30	Juana Canul-Reich, Larry Shoemaker, Lawrence O. Hall	Ensembles of Fuzzy Classifiers.	FUZZ-IEEE	2007	DBLP DOI BibTeX RDF