Search results for "Boosting"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
89	Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano	Resampling or Reweighting: A Comparison of Boosting Implementations.	ICTAI (1)	2008	DBLP DOI BibTeX RDF
82	Dmitry Gavinsky	Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning.	ALT	2002	DBLP DOI BibTeX RDF
74	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Decision Fusion on Boosting Ensembles.	ANNPR	2008	DBLP DOI BibTeX RDF
74	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Researching on combining boosting ensembles.	IJCNN	2008	DBLP DOI BibTeX RDF
74	Aleksandar Lazarevic, Zoran Obradovic	The distributed boosting algorithm.	KDD	2001	DBLP DOI BibTeX RDF	Boosting, classifier ensembles, distributed learning
67	Yijuan Lu, Qi Tian 0001, Thomas S. Huang	Interactive Boosting for Image Classification.	MCS	2007	DBLP DOI BibTeX RDF	Feature Re-weighting, Relevance Feedback, Adaboost, Multiple Classifiers
67	Yijuan Lu, Tong Zhang 0007, Qi Tian 0001	i.Boosting for Image Classification.	ICME	2007	DBLP DOI BibTeX RDF
67	Yijuan Lu, Qi Tian 0001, Thomas S. Huang	Interactive Boosting for Image Classification.	MCAM	2007	DBLP DOI BibTeX RDF	Feature Re-weighting, Relevance Feedback, Adaboost, Multiple Classifiers
67	Kohei Hatano	Smooth Boosting Using an Information-Based Criterion.	ALT	2006	DBLP DOI BibTeX RDF
67	Rong Xiao, Long Zhu, HongJiang Zhang	Boosting Chain Learning for Object Detection.	ICCV	2003	DBLP DOI BibTeX RDF
67	Marina Skurichina, Robert P. W. Duin	The Role of Combining Rules in Bagging and Boosting.	SSPR/SPR	2000	DBLP DOI BibTeX RDF
67	Adam Kalai, Rocco A. Servedio	Boosting in the presence of noise.	STOC	2003	DBLP DOI BibTeX RDF	machine learning, boosting
67	Qiujie Li, Yaobin Mao, Zhiquan Wang, Wenbo Xiang	Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model.	ACML	2009	DBLP DOI BibTeX RDF	Cost-Sensitive Boosting, Boosting, Logistic Regression
60	Yu Nejigane, Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato	Online action recognition with wrapped boosting.	IROS	2007	DBLP DOI BibTeX RDF
60	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm.	IJCNN	2007	DBLP DOI BibTeX RDF
60	Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar 0001	Predicting rare classes: can boosting make any weak learner strong?	KDD	2002	DBLP DOI BibTeX RDF	ANALYZE
60	Rong Jin 0001, Jian Zhang 0003	Multi-Class Learning by Smoothed Boosting.	Mach. Learn.	2007	DBLP DOI BibTeX RDF	Multi-class learning, Regularization, Boosting, Smoothing
60	Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer	Boosting Lite - Handling Larger Datasets and Slower Base Classifiers.	MCS	2007	DBLP DOI BibTeX RDF	support vector machines, decision trees, boosting, classifier ensembles
60	Adam R. Klivans, Rocco A. Servedio	Boosting and Hard-Core Set Construction.	Mach. Learn.	2003	DBLP DOI BibTeX RDF	hard core set construction, computational complexity, boosting
60	Yan Liu 0002, Yiming Yang, Jaime G. Carbonell	Boosting to correct inductive bias in text classification.	CIKM	2002	DBLP DOI BibTeX RDF	inductive bias, machine learning, text classification, boosting
59	Taghi M. Khoshgoftaar, Erik Geleyn, Laurent A. Nguyen, Lofton A. Bullard	Cost-Sensitive Boosting In Software Quality Modeling.	HASE	2002	DBLP DOI BibTeX RDF	Decision Stumps, Cost-Boosting, Boosting, software quality modeling, C4.5, cost-sensitivity
58	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
53	Man-Hung Siu, Xi Yang, Herbert Gish	Discriminatively Trained GMMs for Language Classification Using Boosting Methods.	IEEE Trans. Speech Audio Process.	2009	DBLP DOI BibTeX RDF
53	Xiaoming Liu 0002, Ting Yu 0003	Gradient Feature Selection for Online Boosting.	ICCV	2007	DBLP DOI BibTeX RDF
53	Xun Xu 0003, Thomas S. Huang	SODA-Boosting and Its Application to Gender Recognition.	AMFG	2007	DBLP DOI BibTeX RDF
53	Anna Gambin, Ewa Szczurek	No-Regret Boosting.	ICANNGA (1)	2007	DBLP DOI BibTeX RDF
53	Hamed Masnadi-Shirazi, Nuno Vasconcelos	Asymmetric boosting.	ICML	2007	DBLP DOI BibTeX RDF
53	Yong Gao 0002, Yangsheng Wang	Boosting in Random Subspaces for Face Recognition.	ICPR (1)	2006	DBLP DOI BibTeX RDF
53	Xun Xu 0003, Thomas S. Huang	Face Recognition with MRC-Boosting.	ICCV	2005	DBLP DOI BibTeX RDF
53	Han-joon Kim, Je-Uk Kim	Combining Active Learning and Boosting for Naïve Bayes Text Classifiers.	WAIM	2004	DBLP DOI BibTeX RDF
53	Md. Waselul Haque Sadid, Md. Nazrul Islam Mondal, Md. Shamsul Alam, Abu Sayeed Md. Sohail, Boshir Ahmed	Progressive Boosting for Classifier Committee Learning.	AACC	2004	DBLP DOI BibTeX RDF
53	Ron Meir, Gunnar Rätsch	An Introduction to Boosting and Leveraging.	Machine Learning Summer School	2002	DBLP DOI BibTeX RDF
53	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
53	Susanne Hoche, Stefan Wrobel	Scaling Boosting by Margin-Based Inclusionof Features and Relations.	ECML	2002	DBLP DOI BibTeX RDF
53	Jeevani Wickramaratna, Sean B. Holden, Bernard F. Buxton	Performance Degradation in Boosting.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
53	Zijian Zheng, Geoffrey I. Webb	Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees.	PAKDD	1999	DBLP DOI BibTeX RDF
53	Kai Ming Ting, Zijian Zheng	Improving the Performance of Boosting for Naive Bayesian Classification.	PAKDD	1999	DBLP DOI BibTeX RDF
52	Kai Ming Ting, Lian Zhu	Boosting Support Vector Machines Successfully.	MCS	2009	DBLP DOI BibTeX RDF	support vector machines, Boosting, local models
52	Hamed Valizadegan, Rong Jin 0001, Anil K. Jain 0001	Semi-Supervised Boosting for Multi-Class Classification.	ECML/PKDD (2)	2008	DBLP DOI BibTeX RDF	Semi-supervised learning, Boosting, Multi-Class Classification
52	Adam Tauman Kalai, Yishay Mansour, Elad Verbin	On agnostic boosting and parity learning.	STOC	2008	DBLP DOI BibTeX RDF	agnostic boosting, learning parity with noise, sub-exponential algorithms, agnostic learning
52	Takafumi Kanamori, Takashi Takenouchi, Noboru Murata	Geometrical Structure of Boosting Algorithm.	New Gener. Comput.	2006	DBLP DOI BibTeX RDF	Large-scale Learning Machine, Boosting, Statistical Learning Theory, Classification Problem
52	Fei Wang 0001, Changshui Zhang, Naijiang Lu	Boosting GMM and Its Two Applications.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF	short-term traffic flow forecasting, boosting, GMM, cluster ensemble
52	Hongyu Guo, Herna L. Viktor	Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach.	SIGKDD Explor.	2004	DBLP DOI BibTeX RDF	data mining, boosting, ensembles of classifiers, imbalanced data sets
52	Fang Chu, Carlo Zaniolo	Fast and Light Boosting for Adaptive Mining of Data Streams.	PAKDD	2004	DBLP DOI BibTeX RDF	adaptive boosting ensembles, change detection, Stream data mining
52	Simon Günter, Horst Bunke	New Boosting Algorithms for Classification Problems with Large Number of Classes Applied to a Handwritten Word Recognition Task.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF	Ensemble Creation Method, Large Number of Classes, Hidden Markov Model (HMM), Handwriting Recognition, Boosting, Multiple Classifier System
51	Nicholas R. Howe	A Closer Look at Boosted Image Retrieval.	CIVR	2003	DBLP DOI BibTeX RDF
51	Hongbo Shi, Zhihai Wang, Houkuan Huang	Improving Classification Performance by Combining Multiple TANClassifiers.	RSFDGrC	2003	DBLP DOI BibTeX RDF	Data Mining, Classification, Boosting, Combination Method
45	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
45	Majid Beigi, Andreas Zell	A boosting approach for object classification in biosonar based robot navigation.	ICRA	2008	DBLP DOI BibTeX RDF
45	Qu-Tang Cai, Yangqiu Song, Chang-shui Zhang	Cost-sensitive boosting algorithms as gradient descent.	ICASSP	2008	DBLP DOI BibTeX RDF
45	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution.	IWANN	2007	DBLP DOI BibTeX RDF
45	Luzia Vidal de Souza, Aurora T. R. Pozo, Joel Mauricio Corrêa da Rosa, Anselmo Chaves Neto	The boosting technique using correlation coefficient to improve time series forecasting accuracy.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
45	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
45	Sulan Zhai, Bin Luo 0001, Yu-tang Guo	Fuzzy Clustering Ensemble Based on Dual Boosting.	FSKD (2)	2007	DBLP DOI BibTeX RDF
45	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Mixing Aveboost and Conserboost to Improve Boosting Methods.	IJCNN	2007	DBLP DOI BibTeX RDF
45	Jin Hyeong Park, Chandan K. Reddy	Scale-Space Based Weak Regressors for Boosting.	ECML	2007	DBLP DOI BibTeX RDF
45	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks.	ICANN (1)	2007	DBLP DOI BibTeX RDF
45	Juwei Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos, Stan Z. Li	Ensemble-based discriminant learning with boosting for face recognition.	IEEE Trans. Neural Networks	2006	DBLP DOI BibTeX RDF
45	Paolo Ferragina, Raffaele Giancarlo, Giovanni Manzini	The Engineering of a Compression Boosting Library: Theory vs Practice in BWT Compression.	ESA	2006	DBLP DOI BibTeX RDF
45	Iván Cantador, José R. Dorronsoro	Balanced Boosting with Parallel Perceptrons.	IWANN	2005	DBLP DOI BibTeX RDF
45	Tomasz Arodz	Boosting the Fisher Linear Discriminant with Random Feature Subsets.	CORES	2005	DBLP DOI BibTeX RDF
45	Elizabeth Tapia, José Carlos González, Alexander Hüntemann, L. Javier García-Villalba	Beyond Boosting: Recursive ECOC Learning Machines.	Multiple Classifier Systems	2004	DBLP DOI BibTeX RDF
45	Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata	The Most Robust Loss Function for Boosting.	ICONIP	2004	DBLP DOI BibTeX RDF
45	Juan J. Rodríguez Diez, Carlos Alonso González	Learning Classification RBF Networks by Boosting.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
45	Nader H. Bshouty, Dmitry Gavinsky	On Boosting with Optimal Poly-Bounded Distributions.	COLT/EuroCOLT	2001	DBLP DOI BibTeX RDF
45	Marina Skurichina, Robert P. W. Duin	Boosting in Linear Discriminant Analysis.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
45	Adam R. Klivans, Rocco A. Servedio	Boosting and Hard-Core Sets.	FOCS	1999	DBLP DOI BibTeX RDF
45	Eiji Takimoto, Akira Maruoka	On the Boosting Algorithm for Multiclass Functions Based on Information-Theoretic Criterion for Approxiamtion.	Discovery Science	1998	DBLP DOI BibTeX RDF
45	Hongxing He, Zhexue Huang	Boosting Neural Networks in Real Worls Applications: An Empirical Study.	Australian Joint Conference on Artificial Intelligence	1997	DBLP DOI BibTeX RDF
45	Michael D. Smith 0001, Mark Horowitz, Monica S. Lam	Efficient Superscalar Performance Through Boosting.	ASPLOS	1992	DBLP DOI BibTeX RDF
45	Hongliang Fei, Jun Huan	Boosting with structure information in the functional space: an application to graph classification.	KDD	2010	DBLP DOI BibTeX RDF	feature selection, boosting, semi-structured data, graph classification, L1 regularization
45	Andrea Esuli, Tiziano Fagni, Fabrizio Sebastiani 0001	Boosting multi-label hierarchical text categorization.	Inf. Retr.	2008	DBLP DOI BibTeX RDF	Hierarchical text classification, Boosting
45	Aurélie C. Lozano, Naoki Abe	Multi-class cost-sensitive boosting with p-norm loss functions.	KDD	2008	DBLP DOI BibTeX RDF	boosting, cost-sensitive learning, multi-class classification
45	Sébastien Gambs, Balázs Kégl, Esma Aïmeur	Privacy-preserving boosting.	Data Min. Knowl. Discov.	2007	DBLP DOI BibTeX RDF	AdaBoost distributed learning, Boosting, Privacy-preserving data mining, Secure multiparty computation
45	Gökhan Tür	Extending boosting for large scale spoken language understanding.	Mach. Learn.	2007	DBLP DOI BibTeX RDF	Call classification, Boosting, Model adaptation, Semisupervised learning, Spoken dialog systems, Cost-sensitive classification
45	Yi Liu 0054, Rong Jin 0001, Anil K. Jain 0001	BoostCluster: boosting clustering by pairwise constraints.	KDD	2007	DBLP DOI BibTeX RDF	semi-supervised learning, boosting, data clustering, pairwise constraints
45	Hakan Altinçay	A dempster-shafer theoretic framework for boosting based ensemble design.	Pattern Anal. Appl.	2005	DBLP DOI BibTeX RDF	Evidential pattern classification, Dynamic classifier combination, Sample neighborhood information, Boosting, Classifier ensembles
44	Lili Diao, Keyun Hu, Yuchang Lu, Chunyi Shi	A Method to Boost Naïve Bayesian Classifiers.	PAKDD	2002	DBLP DOI BibTeX RDF
44	Zijian Zheng	Generating Classifier Commitees by Stochastically Selecting both Attributes and Training Examples.	PRICAI	1998	DBLP DOI BibTeX RDF
43	Harald Binder, Gerhard Tutz 0001	A comparison of methods for the fitting of generalized additive models.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Generalized additive models, Selection of smoothness, Mixed model approach, Boosting, Variable selection
38	Lei Zheng, Shaojun Wang, Yan Liu 0008, Chi-Hoon Lee	Information theoretic regularization for semi-supervised boosting.	KDD	2009	DBLP DOI BibTeX RDF	semi-supervised learning, ensemble
38	Chandan K. Reddy, Jin Hyeong Park	Multi-resolution Boosting for Classification and Regression Problems.	PAKDD	2009	DBLP DOI BibTeX RDF
38	Helmut Grabner, Jan Sochman, Horst Bischof, Jiri Matas	Training sequential on-line boosting classifier for visual tracking.	ICPR	2008	DBLP DOI BibTeX RDF
38	Takayoshi Yamashita, Hironobu Fujiyoshi, Shihong Lao, Masato Kawade	Human tracking based on Soft Decision Feature and online real boosting.	ICPR	2008	DBLP DOI BibTeX RDF
38	Junsong Yuan, Jiebo Luo, Ying Wu 0001	Mining compositional features for boosting.	CVPR	2008	DBLP DOI BibTeX RDF
38	Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal	Boosting adaptive linear weak classifiers for online learning and tracking.	CVPR	2008	DBLP DOI BibTeX RDF
38	Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano	Improving Learner Performance with Data Sampling and Boosting.	ICTAI (1)	2008	DBLP DOI BibTeX RDF
38	Alexander Vezhnevets, Olga Barinova	Avoiding Boosting Overfitting by Removing Confusing Samples.	ECML	2007	DBLP DOI BibTeX RDF
38	Ian Davidson, Wei Fan 0001	When Efficient Model Averaging Out-Performs Boosting and Bagging.	PKDD	2006	DBLP DOI BibTeX RDF
38	Ping Sun, Xin Yao 0001	Boosting Kernel Models for Regression.	ICDM	2006	DBLP DOI BibTeX RDF
38	John P. Kaufhold, Justin Abbott, Robert Kaucic	Distributed Cost Boosting and Bounds on Mis-classification Cost.	CVPR (1)	2006	DBLP DOI BibTeX RDF
38	Marco Di Marzio, Charles C. Taylor	Kernel density classification and boosting: an L2 analysis.	Stat. Comput.	2005	DBLP DOI BibTeX RDF	simulation, smoothing, cross-validation, discrimination, nonparametric density estimation
38	Paolo Ferragina, Raffaele Giancarlo, Giovanni Manzini, Marinella Sciortino	Boosting textual compression in optimal linear time.	J. ACM	2005	DBLP DOI BibTeX RDF	Lempel-Ziv compressors, empirical entropy, suffix tree, Arithmetic coding, Huffman coding, text compression, Burrows-Wheeler transform
38	Ulas Bagci, Engin Erzin	Boosting Classifiers for Music Genre Classification.	ISCIS	2005	DBLP DOI BibTeX RDF
38	Siwei Lyu	Infomax Boosting.	CVPR (1)	2005	DBLP DOI BibTeX RDF
38	Joost van de Weijer 0001, Theo Gevers	Boosting Saliency in Color Image Features.	CVPR (1)	2005	DBLP DOI BibTeX RDF
38	Rong Jin 0001, Jian Zhang 0003	A smoothed boosting algorithm using probabilistic output codes.	ICML	2005	DBLP DOI BibTeX RDF
38	Dong Zhang 0001, Stan Z. Li, Daniel Gatica-Perez	Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces.	ICPR (2)	2004	DBLP DOI BibTeX RDF
38	Cynthia Rudin, Robert E. Schapire, Ingrid Daubechies	Boosting Based on a Smooth Margin.	COLT	2004	DBLP DOI BibTeX RDF
38	Hongyu Guo, Herna L. Viktor	Boosting with Data Generation: Improving the Classification of Hard to Learn Examples.	IEA/AIE	2004	DBLP DOI BibTeX RDF