Search results for "Ensemble"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
24	Tomasz Arodz	Margin-based Diversity Measures for Ensemble Classifiers.	CORES	2005	DBLP DOI BibTeX RDF
24	Luiz E. Soares de Oliveira, Marisa E. Morita, Robert Sabourin, Flávio Bortolozzi	Multi-objective Genetic Algorithms to Create Ensemble of Classifiers.	EMO	2005	DBLP DOI BibTeX RDF
24	Byeong Il Lee, Jae Sung Lee, Dong Soo Lee, Seungjin Choi	Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA Approach.	ICANN (2)	2005	DBLP DOI BibTeX RDF
24	Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga	Moderated Innovations in Self-poised Ensemble Learning.	CIS (1)	2005	DBLP DOI BibTeX RDF
24	Roberto Esposito, Lorenza Saitta	Experimental comparison between bagging and Monte Carlo ensemble classification.	ICML	2005	DBLP DOI BibTeX RDF
24	Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales Bueno	E-CIDIM: Ensemble of CIDIM Classifiers.	ADMA	2005	DBLP DOI BibTeX RDF
24	Shirlly C. M. Silva, Daniel S. A. de Araujo, Raul Benites Paradeda, Valmar S. Severiano-Sobrinho, Marcílio Carlos Pereira de Souto	Individual Clustering and Homogeneous Cluster Ensemble Approaches Applied to Gene Expression Data.	Australian Conference on Artificial Intelligence	2005	DBLP DOI BibTeX RDF
24	Paulo Vinicius Wolski Radtke, Robert Sabourin, Tony Wong	Intelligent Feature Extraction for Ensemble of Classifiers.	ICDAR	2005	DBLP DOI BibTeX RDF
24	Peng Li, Kap Luk Chan, Shankar Muthu Krishnan, Yan Gao	Detecting Abnormal Regions in Colonoscopic Images by Patch-based Classifier Ensemble.	ICPR (3)	2004	DBLP DOI BibTeX RDF
24	Yung-Keun Kwon, Byung Ro Moon	Evolutionary Ensemble for Stock Prediction.	GECCO (2)	2004	DBLP DOI BibTeX RDF
24	Pitoyo Hartono, Shuji Hashimoto	Ensemble of Linear Perceptrons with Confidence Level Output.	HIS	2004	DBLP DOI BibTeX RDF
24	John A. Rushing, Sara J. Graves, Evans Criswell, Amy Lin	A Coverage Based Ensemble Algorithm (CBEA) for Streaming Data.	ICTAI	2004	DBLP DOI BibTeX RDF
24	Zhipeng Xie, Wynne Hsu, Mong-Li Lee	Mode Committee: A Novel Ensemble Method by Clustering and Local Learning.	ICTAI	2004	DBLP DOI BibTeX RDF
24	Niall Rooney, David W. Patterson, Chris D. Nugent	Reduced Ensemble Size Stacking.	ICTAI	2004	DBLP DOI BibTeX RDF
24	Huma Lodhi, Stephen H. Muggleton	Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble Methods.	CMSB	2004	DBLP DOI BibTeX RDF
24	Roberto Esposito, Lorenza Saitta	A Monte Carlo analysis of ensemble classification.	ICML	2004	DBLP DOI BibTeX RDF
24	Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes	Ensemble selection from libraries of models.	ICML	2004	DBLP DOI BibTeX RDF
24	Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez	Ensemble Methods for Multilayer Feedforward: An Experimental Study.	IWANN (2)	2003	DBLP DOI BibTeX RDF
24	Gavin Brown 0001, Jeremy L. Wyatt	Negative Correlation Learning and the Ambiguity Family of Ensemble Methods.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF
24	Sofie Verbaeten, Anneleen Van Assche	Ensemble Methods for Noise Elimination in Classification Problems.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF
24	Yan Liu 0002, Jaime G. Carbonell, Rong Jin 0001	A New Pairwise Ensemble Approach for Text Classification.	ECML	2003	DBLP DOI BibTeX RDF
24	Robert Wall, Padraig Cunningham, Paul Walsh	Explaining Predictions from a Neural Network Ensemble One at a Time.	PKDD	2002	DBLP DOI BibTeX RDF
24	Yongdai Kim	Convex Hull Ensemble Machine.	ICDM	2002	DBLP DOI BibTeX RDF
24	Padraig Cunningham, Gabriele Zenobi	Case Representation Issues for Case-Based Reasoning from Ensemble Research.	ICCBR	2001	DBLP DOI BibTeX RDF
24	Thomas Martini Jørgensen, Christian Linneberg	Feature Weighted Ensemble Classifiers - A Modified Decision Scheme.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
24	Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal	Ensemble Feature Selection Based on the Contextual Merit.	DaWaK	2001	DBLP DOI BibTeX RDF
24	Hirotaka Inoue, Hiroyuki Narihisa	Predicting Chaotic Time Series by Ensemble Self-Generating Neural Networks.	IJCNN (2)	2000	DBLP DOI BibTeX RDF
24	Francisco de Borja Rodríguez Ortiz, Vicente López 0002	Periodic and Synchronic Firing in an Ensemble of Identical Stochastic Units: Structural Stability.	IWANN (1)	1999	DBLP DOI BibTeX RDF
24	Katya Vladislavleva, Kalyan Veeramachaneni, Matt Burland, Jason Parcon, Una-May O'Reilly	Knowledge mining with genetic programming methods for variable selection in flavor design.	GECCO	2010	DBLP DOI BibTeX RDF	ensemble modeling, genetic programming, symbolic regression, variable selection, pareto, sensory data
24	Patricio García Báez, Miguel Ángel Pérez del Pino, Carlos Fernández Viadero, Carmen Paz Suárez Araujo	Artificial Intelligent Systems Based on Supervised HUMANN for Differential Diagnosis of Cognitive Impairment: Towards a 4P-HCDS.	IWANN (1)	2009	DBLP DOI BibTeX RDF	Alzheimer’s Disease, k-fold Cross-validation, HUMANN, Diagnosis, Missing Data, Dementia, Neural Network Ensemble, Cognitive Impairment
24	Yanfang Ye 0001, Tao Li 0001, Qingshan Jiang, Zhixue Han, Li Wan	Intelligent file scoring system for malware detection from the gray list.	KDD	2009	DBLP DOI BibTeX RDF	gray list, ensemble, malware detection
24	Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotra	Exploiting context analysis for combining multiple entity resolution systems.	SIGMOD Conference	2009	DBLP DOI BibTeX RDF	er ensemble, entity resolution, context analysis
24	Victor M. Landassuri-Moreno, John A. Bullinaria	Neural network ensembles for time series forecasting.	GECCO	2009	DBLP DOI BibTeX RDF	ensemble neural networks, evolutionary programming, time series forecasting, evolutionary neural networks
24	Beatriz López 0001, Carles Pous, Pablo Gay, Albert Pla	Multi Criteria Decision Methods for Coordinating Case-Based Agents.	MATES	2009	DBLP DOI BibTeX RDF	Case-Based Reasoning, Ensemble Learning, Multi Criteria Decision Making
24	Quan Zou 0001, Maozu Guo 0001, Chun-yu Wang, Yingpeng Han, Wenbin Li	Novel H/ACA Box snoRNA Mining and Secondary Structure Prediction Algorithms.	RSKT	2009	DBLP DOI BibTeX RDF	H/ACA box snoRNA, gene mining, MFE (Minimum Free Energy), bioinformatics, Ensemble learning
24	Yi Ding 0007, Xufu Peng, Xian Fu	The Research of Artificial Neural Network on Negative Correlation Learning.	ISICA	2009	DBLP DOI BibTeX RDF	Artificial Neural Networks, Neural Network Ensemble, Negative Correlation Learning
24	Chengzhi Zhang	Combining Statistical Machine Learning Models to Extract Keywords from Chinese Documents.	ADMA	2009	DBLP DOI BibTeX RDF	text mining, ensemble Learning, extraction, statistical machine learning
24	Guofei Gu, Alvaro A. Cárdenas, Wenke Lee	Principled reasoning and practical applications of alert fusion in intrusion detection systems.	AsiaCCS	2008	DBLP DOI BibTeX RDF	IDS ensemble, alert fusion, intrusion detection, ROC curve, likelihood ratio test
24	Peng Zhang 0001, Xingquan Zhu 0001, Yong Shi 0001	Categorizing and mining concept drifting data streams.	KDD	2008	DBLP DOI BibTeX RDF	classification, data streams, ensemble learning, concept drifting
24	Chun-Gui Xu, KunHong Liu 0001	A GP Based Approach to the Classification of Multiclass Microarray Datasets.	ICIC (2)	2008	DBLP DOI BibTeX RDF	Sub-ensemble, Genetic Programming
24	Mark Eastwood, Bogdan Gabrys	The Dynamics of Negative Correlation Learning.	J. VLSI Signal Process.	2007	DBLP DOI BibTeX RDF	neural networks, classification, stability, dynamics, combination, ensemble methods, negative correlation learning
24	Javad Azimi, Monireh Abdoos, Morteza Analoui	A New Efficient Approach in Clustering Ensembles.	IDEAL	2007	DBLP DOI BibTeX RDF	intelligent k-means and initial points, feature space, Clustering ensemble
24	Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.	Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination.	MCS	2007	DBLP DOI BibTeX RDF	Fusion Function, Ensemble of Learning Machines, Pattern Recognition, Diversity, Majority Voting, Combining Classifiers, Confusion Matrix
24	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
24	Yoshiaki Yasumura, Naho Kitani, Kuniaki Uehara	Quick Adaptation to Changing Concepts by Sensitive Detection.	IEA/AIE	2007	DBLP DOI BibTeX RDF	concept change, data streams, classifier ensemble
24	Tianming Hu, Weiquan Zhao, Xiaoqiang Wang, Zhixiong Li	A Comparison of Three Graph Partitioning Based Methods for Consensus Clustering.	RSKT	2006	DBLP DOI BibTeX RDF	data mining, graph partitioning, clustering ensemble, Consensus clustering, consensus function
24	Matthew Spencer, John McCullagh, Tim Whitfort	Clustering Data Manipulation Method for Ensembles.	Australian Conference on Artificial Intelligence	2006	DBLP DOI BibTeX RDF	Clustering, Ensemble, Data Manipulation
24	Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin, Qiang Yang 0001	Q2C@UST: our winning solution to query classification in KDDCUP 2005.	SIGKDD Explor.	2005	DBLP DOI BibTeX RDF	KDDCUP 2005, synonym-based classifier, ensemble learning, query classification
24	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
24	Liang-Guo Zhang, Xilin Chen 0001, Chunli Wang, Wen Gao 0001	Hierarchical voting classification scheme for improving visual sign language recognition.	ACM Multimedia	2005	DBLP DOI BibTeX RDF	hierarchical voting classification, hidden Markov models, classifiers ensemble, sign language recognition
24	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
24	Yonglong Wang, Bill Samson, David Ellison, Louis Natanson	MIQR Active Learning on a Continuous Function and a Discontinuous Function.	Neural Comput. Appl.	2001	DBLP DOI BibTeX RDF	MIQR, Network learning, Efficiency, Active learning, Ensemble, Generalisation, Network complexity
24	Fu Jie Huang, Tsuhan Chen, Zhi-Hua Zhou, Hong-Jiang Zhang	Pose Invariant Face Recognition.	FG	2000	DBLP DOI BibTeX RDF	ensemble neural network, pose invariant, face recognition, eigenface
24	Matthew Canton	The presence table: a reactive surface for ambient connection.	TEI	2011	DBLP DOI BibTeX RDF
24	Jun Wu, Zheng-Kui Lin, Mingyu Lu	Asymmetric semi-supervised boosting for SVM active learning in CBIR.	CIVR	2010	DBLP DOI BibTeX RDF	image retrieval, relevance feedback, active learning, semi-supervised learning, boosting
24	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
24	Fernanda L. Minku, Hirotaka Inoue, Xin Yao 0001	Negative correlation in incremental learning.	Nat. Comput.	2009	DBLP DOI BibTeX RDF	Self-generating neural tree, Self-organising neural grove, Classification, Incremental learning, Multi-layer perceptrons, Neural network ensembles, Negative correlation learning
24	Doaa Altarawy, Mohamed A. Ismail, Sahar Mohamed Ghanem	MProfiler: A Profile-Based Method for DNA Motif Discovery.	PRIB	2009	DBLP DOI BibTeX RDF	DNA Motif Finding, Clustering, Bioinformatics
24	Giorgio Valentini	True Path Rule Hierarchical Ensembles.	MCS	2009	DBLP DOI BibTeX RDF
24	Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio	Disturbing Neighbors Ensembles for Linear SVM.	MCS	2009	DBLP DOI BibTeX RDF	Disturbing Neighbors, Kappa-Error Movement Diagrams, SVM, Diversity, Ensembles
24	Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb	FaSS: Ensembles for Stable Learners.	MCS	2009	DBLP DOI BibTeX RDF	stable learners, Local models
24	Kun-Hong Liu 0001, Bo Li 0002, Jun Zhang 0011, Ji-Xiang Du	A New Approach to Improving ICA-Based Models for the Classification of Microarray Data.	ISNN (3)	2009	DBLP DOI BibTeX RDF
24	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
24	Patrick Meulstee, Mykola Pechenizkiy	Food Sales Prediction: "If Only It Knew What We Know".	ICDM Workshops	2008	DBLP DOI BibTeX RDF
24	Muhammad Atif Tahir, Jim E. Smith	Feature Selection for Heterogeneous Ensembles of Nearest-neighbour Classifiers Using Hybrid Tabu Search.	Advances in Metaheuristics for Hard Optimization	2008	DBLP DOI BibTeX RDF
24	Meihong Zhu, Yong Shi 0001, Aihua Li, Peng Zhang 0001	A Bias-Variance Analysis of Multiple Criteria Linear Programming Classification Ensembles.	Web Intelligence/IAT Workshops	2008	DBLP DOI BibTeX RDF
24	Naohiro Ishii, Takahiro Yamada, Yongguang Bao, Hidekazu Tanaka	Rough Set Based Learning for Classification.	ICTAI (2)	2008	DBLP DOI BibTeX RDF
24	Jae-Yoon Jung, Janice I. Glasgow, Stephen H. Scott	Trial map : A visualization approach for verification of stroke impairment assessment database.	IJCNN	2008	DBLP DOI BibTeX RDF
24	Oleg Okun, Giorgio Valentini	Dataset complexity can help to generate accurate ensembles of k-nearest neighbors.	IJCNN	2008	DBLP DOI BibTeX RDF
24	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	New Results on Combination Methods for Boosting Ensembles.	ICANN (1)	2008	DBLP DOI BibTeX RDF
24	Sungha Choi, Byungwoo Lee, Jihoon Yang	Ensembles of Region Based Classifiers.	CIT	2007	DBLP DOI BibTeX RDF
24	Edith Elkind, Blaise Genest, Doron A. Peled	Detecting Races in Ensembles of Message Sequence Charts.	TACAS	2007	DBLP DOI BibTeX RDF
24	Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano	Mining Distributed Evolving Data Streams Using Fractal GP Ensembles.	EuroGP	2007	DBLP DOI BibTeX RDF
24	Tadashi Wadayama	Average Coset Weight Distribution of Combined LDPC Matrix Ensembles.	IEEE Trans. Inf. Theory	2006	DBLP DOI BibTeX RDF
24	Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson	Genetically Evolved Trees Representing Ensembles.	ICAISC	2006	DBLP DOI BibTeX RDF
24	Guilherme Palermo Coelho, Fernando J. Von Zuben	The Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles.	IJCNN	2006	DBLP DOI BibTeX RDF
24	Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson	Building Neural Network Ensembles using Genetic Programming.	IJCNN	2006	DBLP DOI BibTeX RDF
24	Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Pruning in ordered bagging ensembles.	ICML	2006	DBLP DOI BibTeX RDF
24	Zhi-Hua Zhou, Yang Yu 0001	Ensembling local learners ThroughMultimodal perturbation.	IEEE Trans. Syst. Man Cybern. Part B	2005	DBLP DOI BibTeX RDF
24	Yoav Tock, Gideon F. Inbar, Yossef Steinberg, Milos Ljubisavljevic, J. Thunberg, Uwe Windhorst, Håkan Johansson	Estimation of muscle spindle information rate by pattern matching and the effect of gamma system activity on parallel spindles.	Biol. Cybern.	2005	DBLP DOI BibTeX RDF
24	D. B. Redpath, Katia Lebart	Observations on Boosting Feature Selection.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
24	Anand M. Narasimhamurthy	Evaluation of Diversity Measures for Binary Classifier Ensembles.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
24	Xuanfu Wu, Zhengxin Chen	Toward dynamic ensembles: the BAGA approach.	AICCSA	2005	DBLP DOI BibTeX RDF
24	Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana	Bagging Decision Multi-trees.	Multiple Classifier Systems	2004	DBLP DOI BibTeX RDF
24	Vladimir B. Balakirsky	Generating Functions Associated with Random Binary Sequences Consisting of Runs of Lengths 1 and 2.	SETA	2004	DBLP DOI BibTeX RDF
24	Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra	Classification by Multilayer Feedforward Ensembles.	ISNN (1)	2004	DBLP DOI BibTeX RDF
24	Amit Mandvikar, Huan Liu 0001, Hiroshi Motoda	Compact Dual Ensembles for Active Learning.	PAKDD	2004	DBLP DOI BibTeX RDF
24	Xubo B. Song, Kun Yang, Misha Pavel	Density Boosting for Gaussian Mixtures.	ICONIP	2004	DBLP DOI BibTeX RDF
24	Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra	Multilayer Feedforward Ensembles for Classification Problems.	ICONIP	2004	DBLP DOI BibTeX RDF
24	Ludmila Kuncheva	That Elusive Diversity in Classifier Ensembles.	IbPRIA	2003	DBLP DOI BibTeX RDF
24	John Yiannis Cotronis	Modular MPI Components and the Composition of Grid Applications.	PDP	2002	DBLP DOI BibTeX RDF
24	Kosuke Imamura, Robert B. Heckendorn, Terence Soule, James A. Foster	N-Version Genetic Programming via Fault Masking.	EuroGP	2002	DBLP DOI BibTeX RDF
24	Iryna Skrypnyk, Seppo Puuronen, Antony Grzanka, Agata Szkielkowska	Selection of Voice Features to Diagnose Hearing Impairments of Children.	CBMS	2001	DBLP DOI BibTeX RDF
24	S. Vasupongayya, René S. Renner, Benjoe A. Juliano	Model Generation of Neural Network Ensembles Using Two-Level Cross-Validation.	International Conference on Computational Science (2)	2001	DBLP DOI BibTeX RDF
24	Christoph Kreitz, Mark Hayden, Jason Hickey	A Proof Environment for the Development of Group Communication Systems.	CADE	1998	DBLP DOI BibTeX RDF
24	Robert L. Constable	ML Programming in Constructive Type Theory (abstract).	TPHOLs	1997	DBLP DOI BibTeX RDF
24	S. C. Chan, Andrew K. C. Wong	Synthesis and Recognition of Sequences.	IEEE Trans. Pattern Anal. Mach. Intell.	1991	DBLP DOI BibTeX RDF	sequences synthesis, sequences recognition, hierarchical sequence synthesis procedure, taxonomic hierarchy, unsupervised classification procedure, pattern recognition, probability, alignment, supervised classification, alphabet
24	Cees J. A. Jansen	The Maximum Order Complexity of Sequence Ensembles.	EUROCRYPT	1991	DBLP DOI BibTeX RDF
24	H. Perdrix	Proprietes Church-Rosser de systemes de reecriture equationnels ayant la propriete de terminaison faible.	STACS	1984	DBLP DOI BibTeX RDF	Fr Système de réécriture, Théorie équationnelle, Paire critique, Cohérence, Terminaison uniforme, Forme normale, Church-Rosser, Preuve automatique, Unification, Confluence
19	Ata Kabán	On Compressive Ensemble Induced Regularisation: How Close is the Finite Ensemble Precision Matrix to the Infinite Ensemble?	ALT	2017	DBLP BibTeX RDF