Search results for "Ensembles"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
77	Alexandre Graell i Amat, Eirik Rosnes	Good concatenated code ensembles for the binary erasure channel.	IEEE J. Sel. Areas Commun.	2009	DBLP DOI BibTeX RDF
77	Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer	Cooperative coevolution of artificial neural network ensembles for pattern classification.	IEEE Trans. Evol. Comput.	2005	DBLP DOI BibTeX RDF
69	Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski	Ensembles of Multi-Objective Decision Trees.	ECML	2007	DBLP DOI BibTeX RDF
69	Yan-Shi Dong, Ke-Song Han	Text classification based on data partitioning and parameter varying ensembles.	SAC	2005	DBLP DOI BibTeX RDF	support vector machines, text classification, ensemble
69	Shuang Yang, Antony Browne, Phil D. Picton	Multistage Neural Network Ensembles.	Multiple Classifier Systems	2002	DBLP DOI BibTeX RDF
68	Nicolás García-Pedrajas, Colin Fyfe	Construction of classifier ensembles by means of artificial immune systems.	J. Heuristics	2008	DBLP DOI BibTeX RDF	Neural networks, Classification, Artificial immune system, Classifier ensembles
68	Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva	Selecting Diversifying Heuristics for Cluster Ensembles.	MCS	2007	DBLP DOI BibTeX RDF	diversifying heuristics, genetic algorithms, Pattern recognition, multiple classifier systems, cluster ensembles
60	Tadashi Wadayama	Average Coset Weight Distribution of Combined LDPC Matrix Ensembles.	IEEE Trans. Inf. Theory	2006	DBLP DOI BibTeX RDF
60	Gabriele Zenobi, Padraig Cunningham	Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error.	ECML	2001	DBLP DOI BibTeX RDF
52	Benjamin Schowe, Katharina Morik	Fast-Ensembles of Minimum Redundancy Feature Selection.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
52	Stefano Ceccon, David Garway-Heath, David P. Crabb, Allan Tucker	Ensembles of Bayesian Network Classifiers Using Glaucoma Data and Expertise.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
52	Carlos Pardo, Juan J. Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio	Random Oracles for Regression Ensembles.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
52	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Researching on combining boosting ensembles.	IJCNN	2008	DBLP DOI BibTeX RDF
52	Gregor Stiglic, Matej Mertik, Vili Podgorelec, Peter Kokol	Using Visual Interpretation of Small Ensembles in Microarray Analysis.	CBMS	2006	DBLP DOI BibTeX RDF
52	Karina Odinaev, Igal Raichelgauz, Yehoshua Y. Zeevi	Cliques in Neural Ensembles as Perception Carriers.	IJCNN	2006	DBLP DOI BibTeX RDF
52	Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Pruning in Ordered Regression Bagging Ensembles.	IJCNN	2006	DBLP DOI BibTeX RDF
52	Flávia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati	Constructing Ensembles of Symbolic Classifiers.	HIS	2005	DBLP DOI BibTeX RDF
52	Ou Wu, Mingliang Zhu, Weiming Hu	Fragment-based clustering ensembles.	CIKM	2009	DBLP DOI BibTeX RDF	mutual information, fragment, clustering ensembles
52	Ludmila I. Kuncheva, Dmitry P. Vetrov	Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	stability and diversity, Clustering, cluster validity, cluster ensembles
52	Alexander P. Topchy, Anil K. Jain 0001, William F. Punch	Clustering Ensembles: Models of Consensus and Weak Partitions.	IEEE Trans. Pattern Anal. Mach. Intell.	2005	DBLP DOI BibTeX RDF	Clustering, mutual information, ensembles, multiple classifier systems, consensus function
51	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
50	Ulf Johansson, Tuve Löfström, Lars Niklasson	Evaluating Standard Techniques for Implicit Diversity.	PAKDD	2008	DBLP DOI BibTeX RDF
44	Nicolás García-Pedrajas	Constructing Ensembles of Classifiers by Means of Weighted Instance Selection.	IEEE Trans. Neural Networks	2009	DBLP DOI BibTeX RDF
44	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Decision Fusion on Boosting Ensembles.	ANNPR	2008	DBLP DOI BibTeX RDF
44	Henry D. Pfister, Igal Sason	Accumulate-Repeat-Accumulate Codes: Capacity-Achieving Ensembles of Systematic Codes for the Erasure Channel With Bounded Complexity.	IEEE Trans. Inf. Theory	2007	DBLP DOI BibTeX RDF
44	Dingding Chen, Allan Zhong, John Gano, Syed Hamid, Orlando De Jesus, Stan Stephenson	Construction of surrogate model ensembles with sparse data.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
44	Kaspar Riesen, Horst Bunke	Classifier Ensembles for Vector Space Embedding of Graphs.	MCS	2007	DBLP DOI BibTeX RDF
44	Juan José Rodríguez, Ludmila I. Kuncheva	Naïve Bayes Ensembles with a Random Oracle.	MCS	2007	DBLP DOI BibTeX RDF
44	Yong Liu 0012	How to Stop the Evolutionary Process in Evolving Neural Network Ensembles.	ICNC (1)	2006	DBLP DOI BibTeX RDF
44	Mincheol Yoon, Yunjin Lee, Seungyong Lee 0001, Ioannis P. Ivrissimtzis, Hans-Peter Seidel	Ensembles for Normal and Surface Reconstructions.	GMP	2006	DBLP DOI BibTeX RDF
44	Giorgio Valentini	An experimental bias-variance analysis of SVM ensembles based on resampling techniques.	IEEE Trans. Syst. Man Cybern. Part B	2005	DBLP DOI BibTeX RDF
44	Nicolás García-Pedrajas, Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, César Hervás-Martínez	Cascade Ensembles.	IWANN	2005	DBLP DOI BibTeX RDF
44	Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham	Diversity in Random Subspacing Ensembles.	DaWaK	2004	DBLP DOI BibTeX RDF
44	Marc Fischlin	Pseudorandom Function Tribe Ensembles Based on One-Way Permutations: Improvements and Applications.	EUROCRYPT	1999	DBLP DOI BibTeX RDF
43	Carlotta Domeniconi, Muna Al-Razgan	Weighted cluster ensembles: Methods and analysis.	ACM Trans. Knowl. Discov. Data	2009	DBLP DOI BibTeX RDF	accuracy and diversity measures, data mining, subspace clustering, Cluster ensembles, text data, consensus functions
43	Javad Azimi, Paul Cull, Xiaoli Z. Fern	Clustering Ensembles Using Ants Algorithm.	IWINAC (1)	2009	DBLP DOI BibTeX RDF	outlier and marginal samples, Cluster ensembles, ant colony, consensus function
43	Si Chen, Gongde Guo, Lifei Chen	Semi-supervised Classification Based on Clustering Ensembles.	AICI	2009	DBLP DOI BibTeX RDF	clustering consistency, classification, semi-supervised learning, clustering ensembles
43	Diego Rother, Guillermo Sapiro, Vijay Pande	Statistical Characterization of Protein Ensembles.	IEEE ACM Trans. Comput. Biol. Bioinform.	2008	DBLP DOI BibTeX RDF	protein ensembles, Bayesian networks, graphical models, bootstrapping, maximum likelihood, density estimation, cross-validation
43	Chris Matthews, Esther Scheurmann	Ensembles of Classifiers in Arrears Management.	Soft Computing Applications in Business	2008	DBLP DOI BibTeX RDF	neural network and rule based ensembles, data set imbalance, loan default, arrears management
43	Eulanda Miranda dos Santos, Robert Sabourin, Patrick Maupin	Pareto analysis for the selection of classifier ensembles.	GECCO	2008	DBLP DOI BibTeX RDF	Pareto analysis, ensemble selection, classifier ensembles, diversity measures
43	Frantz Clermont	A Linear-Scaling Approach to Speaker Variability in Poly-segmental Formant Ensembles.	Speaker Classification (2)	2007	DBLP DOI BibTeX RDF	Poly-Segmental Ensembles, Linear Scaling, Speaker Variability, Formant-Frequency Patterns
43	Ludmila I. Kuncheva, Juan José Rodríguez	An Experimental Study on Rotation Forest Ensembles.	MCS	2007	DBLP DOI BibTeX RDF	Rotation Forest, Pattern recognition, Feature extraction, Classifier ensembles
43	Janina Anna Jakubczyc	Contextual Classifier Ensembles.	BIS	2007	DBLP DOI BibTeX RDF	context, classifier ensembles, supervised machine learning
43	Kagan Tumer, Nikunj C. Oza	Input decimated ensembles.	Pattern Anal. Appl.	2003	DBLP DOI BibTeX RDF	Correlation reduction, Classification, Feature selection, Dimensionality reduction, Ensembles, Combining classifier
43	Ricardo Barandela, Rosa Maria Valdovinos, José Salvador Sánchez 0001	New Applications of Ensembles of Classifiers.	Pattern Anal. Appl.	2003	DBLP DOI BibTeX RDF	Algorithm scalability, Filtering Outliers, Imbalanced training sample, Nearest neighbour rule, Preprocessing techniques, Ensembles
43	Anne M. P. Canuto, Márjory C. C. Abreu	Using Fuzzy, Neural and Fuzzy-Neural Combination Methods in Ensembles with Different Levels of Diversity.	ICANN (1)	2007	DBLP DOI BibTeX RDF	Diversity in Ensembles, Neural Networks and Fuzzy Neural Networks, Fuzzy Sets, Ensembles
42	Indre Zliobaite	Three Data Partitioning Strategies for Building Local Classifiers.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
42	Evgueni N. Smirnov, Matthijs Moed, Georgi I. Nalbantov, Ida G. Sprinkhuizen-Kuyper	Minimally-Sized Balanced Decomposition Schemes for Multi-class Classification.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
42	Raymond S. Smith, Terry Windeatt	Facial Action Unit Recognition Using Filtered Local Binary Pattern Features with Bootstrapped and Weighted ECOC Classifiers.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
42	Rakkrit Duangsoithong, Terry Windeatt	Hybrid Correlation and Causal Feature Selection for Ensemble Classifiers.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
42	Haytham Elghazel, Alex Aussem, Florence Perraud	Trading-Off Diversity and Accuracy for Optimal Ensemble Tree Selection in Random Forests.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
42	Miguel Ángel Bautista 0001, Sergio Escalera, Xavier Baró, Oriol Pujol, Jordi Vitrià, Petia Radeva	On the Design of Low Redundancy Error-Correcting Output Codes.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
42	Alessandro Rozza, Gabriele Lombardi, Matteo Re, Elena Casiraghi, Giorgio Valentini, Paola Campadelli	A Novel Ensemble Technique for Protein Subcellular Location Prediction.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
42	Cemre Zor, Terry Windeatt, Berrin A. Yanikoglu	Bias-Variance Analysis of ECOC and Bagging Using Neural Nets.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
42	Pierluigi Casale, Oriol Pujol, Petia Radeva	Embedding Random Projections in Regularized Gradient Boosting Machines.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
42	Giuliano Armano, Nima Hatami	An Improved Mixture of Experts Model: Divide and Conquer Using Random Prototypes.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
42	Houtao Deng, Saylisse Dávila, George C. Runger, Eugene Tuv	Learning Markov Blankets for Continuous or Discrete Networks via Feature Selection.	Ensembles in Machine Learning Applications	2011	DBLP DOI BibTeX RDF
42	Arjun Chandra, Huanhuan Chen, Xin Yao 0001	Trade-Off Between Diversity and Accuracy in Ensemble Generation.	Multi-Objective Machine Learning	2006	DBLP DOI BibTeX RDF
42	Jared Sylvester, Nitesh V. Chawla	Evolutionary Ensemble Creation and Thinning.	IJCNN	2006	DBLP DOI BibTeX RDF
42	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
42	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
41	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
41	Yong Liu 0012, Xin Yao 0001	Time Series Prediction by Using Negatively Correlated Neural Networks.	SEAL	1998	DBLP DOI BibTeX RDF	Cooperation, Time Series Prediction, Generalisation, Neural Network Ensembles, Specialisation
35	Aloísio Carlos de Pina, Gerson Zaverucha	Applying REC analysis to ensembles of particle filters.	Neural Comput. Appl.	2009	DBLP DOI BibTeX RDF	REC analysis, Kalman filter, Particle filter, Ensemble
35	Neri Merhav	The Generalized Random Energy Model and its Application to the Statistical Physics of Ensembles of Hierarchical Codes.	IEEE Trans. Inf. Theory	2009	DBLP DOI BibTeX RDF
35	Jerzy Blaszczynski, Jerzy Stefanowski, Magdalena Zajac	Ensembles of Abstaining Classifiers Based on Rule Sets.	ISMIS	2009	DBLP DOI BibTeX RDF
35	Kaspar Riesen, Horst Bunke	Cluster Ensembles Based on Vector Space Embeddings of Graphs.	MCS	2009	DBLP DOI BibTeX RDF
35	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
35	Kari Torkkola, Eugene Tuv	Ensembles of Least Squares Classifiers with Randomized Kernels.	Data Mining: Foundations and Practice	2008	DBLP DOI BibTeX RDF
35	Tuve Löfström, Ulf Johansson, Henrik Boström	On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers.	ICMLA	2008	DBLP DOI BibTeX RDF
35	Jonas Richiardi, Andrzej Drygajlo, Laetitia Todesco	Promoting Diversity in Gaussian Mixture Ensembles: An Application to Signature Verification.	BIOID	2008	DBLP DOI BibTeX RDF
35	Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Timothy J. Coats, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández	Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications.	IEEE Trans. Inf. Technol. Biomed.	2007	DBLP DOI BibTeX RDF
35	Rosa Maria Valdovinos, José Salvador Sánchez 0001	Performance Analysis of Classifier Ensembles: Neural Networks Versus Nearest Neighbor Rule.	IbPRIA (1)	2007	DBLP DOI BibTeX RDF
35	Gregor Stiglic, Nawaz Khan, Mateja Verlic, Peter Kokol	Gene Expression Analysis of Leukemia Samples Using Visual Interpretation of Small Ensembles: A Case Study.	PRIB	2007	DBLP DOI BibTeX RDF	machine learning, decision trees, gene expression analysis
35	Kaspar Riesen, Horst Bunke	Structural Classifier Ensembles for Vector Space Embedded Graphs.	IJCNN	2007	DBLP DOI BibTeX RDF
35	Ulf Johansson, Tuve Löfström, Lars Niklasson	The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation.	IJCNN	2007	DBLP DOI BibTeX RDF
35	Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson	Building Neural Network Ensembles using Genetic Programming.	IJCNN	2006	DBLP DOI BibTeX RDF
35	Gonzalo Martínez-Muñoz, Aitor Sánchez-Martínez, Daniel Hernández-Lobato, Alberto Suárez 0001	Building Ensembles of Neural Networks with Class-Switching.	ICANN (1)	2006	DBLP DOI BibTeX RDF
35	Dennis DeCoste	Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations.	ICML	2006	DBLP DOI BibTeX RDF
35	Uri Erez, Gadi Miller	The ML decoding performance of LDPC ensembles over Zq.	IEEE Trans. Inf. Theory	2005	DBLP DOI BibTeX RDF
35	Bin Shen 0001, Min Yao, Yuan Bo	SVM and Classification Ensembles based High-voltage Transmission Line Fault Diagnosis.	CIT	2005	DBLP DOI BibTeX RDF
35	Hanan Ayad, Mohamed S. Kamel	Cluster-Based Cumulative Ensembles.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
35	Anand M. Narasimhamurthy	Evaluation of Diversity Measures for Binary Classifier Ensembles.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
35	Fei Zuo, Peter H. N. de With	Fast Face Detection Using a Cascade of Neural Network Ensembles.	ACIVS	2005	DBLP DOI BibTeX RDF
35	Guido Bologna, Christian Pellegrini	Recognizing Images from ICA Filters and Neural Network Ensembles with Rule Extraction.	IWANN (2)	2003	DBLP DOI BibTeX RDF
35	M. Alex O. Vasilescu, Demetri Terzopoulos	Multilinear Subspace Analysis of Image Ensembles.	CVPR (2)	2003	DBLP DOI BibTeX RDF	nonlinear subspace analysis, N-mode component analysis, multilinear models, N-mode SVD, dimensionality reduction, tensor decomposition
35	Alexey Tsymbal, Seppo Puuronen, David W. Patterson	Feature Selection for Ensembles of Simple Bayesian Classifiers.	ISMIS	2002	DBLP DOI BibTeX RDF
35	Rafael Valle dos Santos, Fredy Artola, Sérgio da Fontoura, Marley M. B. R. Vellasco	Lithology Recognition by Neural Network Ensembles.	SBIA	2002	DBLP DOI BibTeX RDF
35	Giorgio Giacinto, Fabio Roli, Giorgio Fumera	Unsupervised Learning of Neural Network Ensembles for Image Classification.	IJCNN (3)	2000	DBLP DOI BibTeX RDF
35	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
35	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
35	Andreas Schierwagen	Mathematical and Computational Modeling of Neurons and Neuronal Ensembles.	EUROCAST	2009	DBLP DOI BibTeX RDF	neuronal ensembles, modeling, computational, mathematical, neurons
35	Xavier Sevillano, Francesc Alías, Joan Claudi Socoró	BordaConsensus: a new consensus function for soft cluster ensembles.	SIGIR	2007	DBLP DOI BibTeX RDF	Borda voting, soft cluster ensembles, document clustering
35	Aristoklis D. Anastasiadis, George D. Magoulas	Analysing the localisation sites of proteins through neural networks ensembles.	Neural Comput. Appl.	2006	DBLP DOI BibTeX RDF	Neural ensembles, Protein localisation, Feedforward neural networks, K-nearest neighbour, Imbalanced datasets
35	Mark Goadrich, Louis Oliphant, Jude W. Shavlik	Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves.	Mach. Learn.	2006	DBLP DOI BibTeX RDF	Recall-precision curves, Biomedical information extraction, Ensembles, Inductive logic programming
35	Yaxin Bi, Werner Dubitzky	An evidential approach in ensembles.	SAC	2006	DBLP DOI BibTeX RDF	text categorization, ensembles of classifiers, evidential reasoning
35	Xavier Sevillano, Germán Cobo, Francesc Alías, Joan Claudi Socoró	Feature diversity in cluster ensembles for robust document clustering.	SIGIR	2006	DBLP DOI BibTeX RDF	feature extraction, document clustering, cluster ensembles
33	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
33	Tuve Löfström, Ulf Johansson, Henrik Boström	Ensemble member selection using multi-objective optimization.	CIDM	2009	DBLP DOI BibTeX RDF
33	Araken de Medeiros Santos, Anne Magály de Paula Canuto	Using ARTMAP-Based Ensemble Systems Designed by Three Variants of Boosting.	ICANN (1)	2008	DBLP DOI BibTeX RDF	Ensemble Systems, Boosting strategy, ARTMAP-Based neural networks, RePART