Search results for "bagging"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	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
3	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
3	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
3	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
3	Guo-Zheng Li, 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
3	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
3	Dacheng Tao, Xiaoou Tang, Xuelong Li, Xindong Wu	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
3	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
3	Zhi-Hua Zhou, Yang Yu	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
3	Aleksandar Lazarevic, Vipin Kumar	Feature bagging for outlier detection.	KDD	2005	DBLP DOI BibTeX RDF	feature subsets, integration, outlier detection, bagging, false alarm, detection rate
3	Saharon Rosset	Robust boosting and its relation to bagging.	KDD	2005	DBLP DOI BibTeX RDF	robust fitting, boosting, bagging
3	Yves Grandvalet	Bagging Equalizes Influence.	Machine Learning	2004	DBLP DOI BibTeX RDF	leverage, bias/variance, bagging, influence
3	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
2	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
2	Paulo Fernandes, 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
2	Yanfang Ye, Lifei Chen, Dingding Wang, Tao Li, Qingshan Jiang, Min Zhao	SBMDS: an interpretable string based malware detection system using SVM ensemble with bagging.	Journal in Computer Virology	2009	DBLP DOI BibTeX RDF
2	M. Arthur Munson, Rich Caruana	On Feature Selection, Bias-Variance, and Bagging.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
2	Pawalai Kraipeerapun, Chun Che Fung, Sathit Nakkrasae	Porosity Prediction Using Bagging of Complementary Neural Networks.	ISNN	2009	DBLP DOI BibTeX RDF
2	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
2	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
2	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
2	Hamoud I. 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
2	Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà	Improving Adaptive Bagging Methods for Evolving Data Streams.	ACML	2009	DBLP DOI BibTeX RDF
2	Peijun Du, Wei Zhang, 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
2	Björn Waske, Jon Atli Benediktsson, Johannes R. Sveinsson	Classifying Remote Sensing Data with Support Vector Machines and Imbalanced Training Data.	MCS	2009	DBLP DOI BibTeX RDF	imbalanced training data, support vector machines, bagging, land cover classification, multispectral
2	Kritsada Sriphaew, Hiroya Takamura, Manabu Okumura	Cool Blog Classification from Positive and Unlabeled Examples.	PAKDD	2009	DBLP DOI BibTeX RDF	Cool blog, PU-learning, weighting examples, bagging
2	Qiang-Li Zhao, Yan-Huang Jiang, Ming Xu	A Fast Ensemble Pruning Algorithm Based on Pattern Mining Process.	ECML/PKDD	2009	DBLP DOI BibTeX RDF	PMEP (Pattern Mining based Ensemble Pruning), Bagging, FP-Tree, back-propagation neural network
2	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
2	Md. Monirul Islam, Xin Yao, S. M. Shahriar Nirjon, Muhammad Asiful Islam, Kazuyuki Murase	Bagging and Boosting Negatively Correlated Neural Networks.	IEEE Transactions on Systems, Man, and Cybernetics, Part B	2008	DBLP DOI BibTeX RDF
2	Vasileios L. Georgiou, Philipos D. Alevizos, Michael N. Vrahatis	Novel Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary Estimating of Prior Probabilities.	Neural Processing Letters	2008	DBLP DOI BibTeX RDF	Mathematics Subject Classification (2000) 62F40, 62M45, 82C32, 68T10, 62H30
2	Qu-Tang Cai, Chun-Yi Peng, Chang-Shui Zhang	A weighted subspace approach for improving bagging performance.	ICASSP	2008	DBLP DOI BibTeX RDF
2	Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu	VoB predictors: Voting on bagging classifications.	ICPR	2008	DBLP DOI BibTeX RDF
2	Xingquan Zhu, Chengyi Bao, Weidong Qiu	Bagging very weak learners with lazy local learning.	ICPR	2008	DBLP DOI BibTeX RDF
2	Chen Li, Yang Zhang	Bagging One-Class Decision Trees.	FSKD	2008	DBLP DOI BibTeX RDF
2	Alexandra Scherbart, Tim W. Nattkemper	The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method.	ICONIP	2008	DBLP DOI BibTeX RDF
2	Marcin Gabryel, Leszek Rutkowski	Evolutionary Methods for Designing Neuro-fuzzy Modular Systems Combined by Bagging Algorithm.	ICAISC	2008	DBLP DOI BibTeX RDF
2	Satoshi Shirai, Mineichi Kudo, Atsuyoshi Nakamura	Bagging, Random Subspace Method and Biding.	SSPR/SPR	2008	DBLP DOI BibTeX RDF
2	Rocío Alaíz-Rodríguez	Local Decision Bagging of Binary Neural Classifiers.	Canadian Conference on AI	2008	DBLP DOI BibTeX RDF
2	Dimitris N. Politis	Bagging Multiple Comparisons from Microarray Data.	ISBRA	2008	DBLP DOI BibTeX RDF
2	Fernanda L. Minku, Xin Yao	On-line bagging Negative Correlation Learning.	IJCNN	2008	DBLP DOI BibTeX RDF
2	Shuichi Kurogi, Yohei Koshiyama, Daisuke Kuwahara, Takeshi Nishida, Mitsuru Mimata, Katsuyoshi Itoh	Model switching predictive control using bagging CAN2 and first-difference signals for temperature control of RCA cleaning solutions.	IJCNN	2008	DBLP DOI BibTeX RDF
2	Zhong Yi Sun, Denis Rivière, Edouard Duchesnay, Bertrand Thirion, Fabrice Poupon, Jean-Francois Mangin	Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging.	ISBI	2008	DBLP DOI BibTeX RDF
2	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 Transactions on Information Technology in Biomedicine	2007	DBLP DOI BibTeX RDF
2	Xingquan Zhu	Lazy Bagging for Classifying Imbalanced Data.	ICDM	2007	DBLP DOI BibTeX RDF
2	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
2	Cen Li	Classifying imbalanced data using a bagging ensemble variation (BEV).	ACM Southeast Regional Conference	2007	DBLP DOI BibTeX RDF	machine learning, classification, support vector machine, decision tree, imbalanced data
2	Sotiris B. Kotsiantis, Dimitris Kanellopoulos	Combining Bagging, Boosting and Dagging for Classification Problems.	KES	2007	DBLP DOI BibTeX RDF	data mining, Machine learning, ensembles of classifiers
2	Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez	Selection of Decision Stumps in Bagging Ensembles.	ICANN	2007	DBLP DOI BibTeX RDF
2	Shuichi Kurogi, Naoko Nedachi, Yuki Funatsu	Reproduction and Recognition of Vowel Signals Using Single and Bagging Competitive Associative Nets.	ICONIP	2007	DBLP DOI BibTeX RDF
2	Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez	Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles.	IDEAL	2007	DBLP DOI BibTeX RDF
2	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
2	Pance Panov, Saso Dzeroski	Combining Bagging and Random Subspaces to Create Better Ensembles.	IDA	2007	DBLP DOI BibTeX RDF
2	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
2	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
2	Rongrong Ji, Hongxun Yao	Visual & textual fusion for region retrieval: from both fuzzy matching and bayesian reasoning aspects.	Multimedia Information Retrieval	2007	DBLP DOI BibTeX RDF	pairwise coupling, support vector machine, image retrieval, relevance feedback, image annotation, bagging, bayesian reasoning
2	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
2	Rongrong Ji, Hongxun Yao, Shaohui Liu, Jicheng Wang, Pengfei Xu	A Novel Retrieval Refinement and Interaction Pattern by Exploring Result Correlations for Image Retrieval.	Adaptive Multimedia Retrieval	2007	DBLP DOI BibTeX RDF	pairwise coupling, support vector machine, image retrieval, relevance feedback, image classification, bagging
2	Rencheng Wang, Yiyong Yang, Xiao Hu, Fangfang Wu, Dewen Jin, Xiaohong Jia, Fang Li, Jichuan Zhang	A Hybrid AB-RBF Classifier for Surface Electromyography Classification.	HCI	2007	DBLP DOI BibTeX RDF	Attribute Bagging Algorithm, RBFN, sEMG, Prosthesis control
2	M. A. H. Akhand, Kazuyuki Murase	Neural Network Ensemble Training by Sequential Interaction.	ICANN	2007	DBLP DOI BibTeX RDF	diversity and generalization, boosting, Bagging, negative correlation learning
2	Shiliang Sun	Ensemble Learning Methods for Classifying EEG Signals.	MCS	2007	DBLP DOI BibTeX RDF	boosting, ensemble learning, bagging, random subspace, EEG signal classification
2	Sinjini Mitra, Nicole A. Lazar, Yanxi Liu	Understanding the role of facial asymmetry in human face identification.	Statistics and Computing	2007	DBLP DOI BibTeX RDF	Facial asymmetry, Feature subset, Classification, Bagging, Resampling
2	Ian Davidson, Wei Fan	When Efficient Model Averaging Out-Performs Boosting and Bagging.	PKDD	2006	DBLP DOI BibTeX RDF
2	Guo-Zheng Li, Tian-Yu Liu, Victor S. Cheng	Classification of Brain Glioma by Using SVMs Bagging with Feature Selection.	BioDM	2006	DBLP DOI BibTeX RDF
2	Eibe Frank, Bernhard Pfahringer	Improving on Bagging with Input Smearing.	PAKDD	2006	DBLP DOI BibTeX RDF
2	Yi Li, Baochang Zhang, Shiguang Shan, Xilin Chen, Wen Gao	Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition.	ICPR	2006	DBLP DOI BibTeX RDF
2	Anneleen Van Assche, Hendrik Blockeel	Bagging Using Statistical Queries.	ECML	2006	DBLP DOI BibTeX RDF
2	Gonzalo Martínez-Muñoz, Alberto Suárez	Pruning in ordered bagging ensembles.	ICML	2006	DBLP DOI BibTeX RDF
2	Yunhong Wang, Yiding Wang, Anil K. Jain, Tieniu Tan	Face Verification Based on Bagging RBF Networks.	ICB	2006	DBLP DOI BibTeX RDF
2	Guo-Zheng Li, Tian-Yu Liu	Feature Selection for Bagging of Support Vector Machines.	PRICAI	2006	DBLP DOI BibTeX RDF
2	Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez	Pruning in Ordered Regression Bagging Ensembles.	IJCNN	2006	DBLP DOI BibTeX RDF
2	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
2	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
2	Xiaogang Wang, Xiaoou Tang	Random Sampling for Subspace Face Recognition.	International Journal of Computer Vision	2006	DBLP DOI BibTeX RDF	face recognition, LDA, bagging, subspace analysis, random subspace method
2	Yi Zhang 0006, W. Nick Street	Bagging with Adaptive Costs.	ICDM	2005	DBLP DOI BibTeX RDF
2	Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Zhi-Hua Zhou	Dependency Bagging.	RSFDGrC	2005	DBLP DOI BibTeX RDF
2	Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas	Local Bagging of Decision Stumps.	IEA/AIE	2005	DBLP DOI BibTeX RDF
2	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
2	Roberto Esposito, Lorenza Saitta	Experimental comparison between bagging and Monte Carlo ensemble classification.	ICML	2005	DBLP DOI BibTeX RDF
2	Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas	Bagging Random Trees for Estimation of Tissue Softness.	MLDM	2005	DBLP DOI BibTeX RDF
2	Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas	Bagging Model Trees for Classification Problems.	Panhellenic Conference on Informatics	2005	DBLP DOI BibTeX RDF
2	Alípio Jorge, Paulo J. Azevedo	An Experiment with Association Rules and Classification: Post-Bagging and Conviction.	Discovery Science	2005	DBLP DOI BibTeX RDF
2	Bin He, Kevin Chen-Chuan Chang	Making holistic schema matching robust: an ensemble approach.	KDD	2005	DBLP DOI BibTeX RDF	bagging predictors, data integration, ensemble, schema matching, deep web
2	Jerzy Stefanowski	The Bagging and n2-Classifiers Based on Rules Induced by MODLEM.	Rough Sets and Current Trends in Computing	2004	DBLP DOI BibTeX RDF
2	Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana	Bagging Decision Multi-trees.	Multiple Classifier Systems	2004	DBLP DOI BibTeX RDF
2	Bruno Caprile, Stefano Merler, Cesare Furlanello, Giuseppe Jurman	Exact Bagging with k-Nearest Neighbour Classifiers.	Multiple Classifier Systems	2004	DBLP DOI BibTeX RDF
2	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
2	Klaus Hechenbichler, Gerhard Tutz	Bagging, Boosting and Ordinal Classification.	GfKl	2004	DBLP DOI BibTeX RDF
2	R. Syama Sundar Yadav, Deepak Khemani	An Oracle Based Meta-learner for Function Decomposition.	AIMSA	2004	DBLP DOI BibTeX RDF	Machine learning, Bagging, Meta-learning, Function decomposition
2	Yongdai Kim, Jinseog Kim	Convex Hull Ensemble Machine for Regression and Classification.	Knowl. Inf. Syst.	2004	DBLP DOI BibTeX RDF	Classification, Regression, Boosting, Ensemble, Bagging
2	Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff	Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers.	Machine Learning	2004	DBLP DOI BibTeX RDF	combinations of machines, stability, bagging, cross-validation
2	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
2	Bernd Fischer, Joachim M. Buhmann	Bagging for Path-Based Clustering.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	Clustering, resampling, color segmentation
2	Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich	Comparing Pure Parallel Ensemble Creation Techniques Against Bagging.	ICDM	2003	DBLP DOI BibTeX RDF
2	Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho	Human Splice Site Identification with Multiclass Support Vector Machines and Bagging.	ICANN	2003	DBLP DOI BibTeX RDF
2	Roberto Esposito, Lorenza Saitta	Explaining Bagging with Monte Carlo Theory.	AI*IA	2003	DBLP DOI BibTeX RDF
2	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
2	Taghi M. Khoshgoftaar, Erik Geleyn, Laurent A. Nguyen	Empirical Case Studies of Combining Software Quality Classification Models.	QSIC	2003	DBLP DOI BibTeX RDF	Decision Stumps, combined decision, software quality, Boosting, Bagging, C4.5
2	Alan Fern, Robert Givan	Online Ensemble Learning: An Empirical Study.	Machine Learning	2003	DBLP DOI BibTeX RDF	decision trees, boosting, online learning, branch prediction, ensemble learning, bagging
2	Foster J. Provost, Pedro Domingos	Tree Induction for Probability-Based Ranking.	Machine Learning	2003	DBLP DOI BibTeX RDF	Laplace correction, classification, decision trees, ranking, bagging, cost-sensitive learning, probability estimation
2	Hyun-Chul Kim, Shaoning Pang, Hong-Mo Je, Daijin Kim, Sung Yang Bang	Support Vector Machine Ensemble with Bagging.	SVM	2002	DBLP DOI BibTeX RDF