Search results for "Ensemble"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
4	Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard	Ensemble pruning via individual contribution ordering.	KDD	2010	DBLP DOI BibTeX RDF	ensemble pruning, ensemble learning
4	Yong Yang, Guoyin Wang, Kun He	An Approach for Selective Ensemble Feature Selection Based on Rough Set Theory.	RSKT	2007	DBLP DOI BibTeX RDF	feature selection, Rough set, ensemble learning, selective ensemble
4	Xin Geng, Zhi-Hua Zhou	Image Region Selection and Ensemble for Face Recognition.	J. Comput. Sci. Technol.	2006	DBLP DOI BibTeX RDF	region selection, multiple eigenspaces, face recognition, ensemble learning, selective ensemble
4	Zhi-Hua Zhou, Yuan Jiang	NeC4.5: Neural Ensemble Based C4.5.	IEEE Trans. Knowl. Data Eng.	2004	DBLP DOI BibTeX RDF	neural networks, Machine learning, decision tree, generalization, ensemble learning, comprehensibility, neural network ensemble
4	Yuan Jiang, Zhi-Hua Zhou	SOM Ensemble-Based Image Segmentation.	Neural Processing Letters	2004	DBLP DOI BibTeX RDF	neural networks, image segmentation, SOM, unsupervised learning, ensemble learning, neural network ensemble
4	Francesco Masulli, Giorgio Valentini	Effectiveness of error correcting output coding methods in ensemble and monolithic learning machines.	Pattern Anal. Appl.	2004	DBLP DOI BibTeX RDF	ECOC ensemble, Ensemble of learning machines, Error correcting output, Coding, Classification problems
3	B. Stephen Carpenter II, Richard Furuta, Frank M. Shipman III, Allison Huie, Daniel Pogue, Edward A. Fox, Spencer J. Lee, Peter Brusilovsky, Lillian N. Cassel, Lois M. L. Delcambre	Multiple sources with multiple portals: a demonstration of the ensemble computing portal in second life.	JCDL	2010	DBLP DOI BibTeX RDF	computing portal, virtual worlds, ensemble, second life
3	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
3	Andre Kalamandeen, Adin Scannell, Eyal de Lara, Anmol Sheth, Anthony LaMarca	Ensemble: cooperative proximity-based authentication.	MobiSys	2010	DBLP DOI BibTeX RDF	authentication, ensemble, proximity
3	Ruochen Liu, Wei Zhang 0009, Licheng Jiao, Fang Liu	A multiobjective immune clustering ensemble technique applied to unsupervised SAR image segmentation.	CIVR	2010	DBLP DOI BibTeX RDF	unsupervised image segmentation, artificial immune system, multiobjective optimization, SAR image, clustering ensemble
3	Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang	Automatic malware categorization using cluster ensemble.	KDD	2010	DBLP DOI BibTeX RDF	malware categorization, signature, cluster ensemble
3	Ryan J. Prenger, Tracy D. Lemmond, Kush R. Varshney, Barry Y. Chen, William G. Hanley	Class-specific error bounds for ensemble classifiers.	KDD	2010	DBLP DOI BibTeX RDF	cost-specific, classifiers, ensemble
3	Chun-Xia Zhang, Jiang-She Zhang	A novel method for constructing ensemble classifiers.	Statistics and Computing	2009	DBLP DOI BibTeX RDF	Kappa-error diagram, Principal component analysis, Bootstrap, Adaboost, Bagging, Random forest, Ensemble classifier
3	Haitao He, Xiaonan Luo, FeiTeng Ma, Chunhui Che, Jianmin Wang 0002	Network traffic classification based on ensemble learning and co-training.	Science in China Series F: Information Sciences	2009	DBLP DOI BibTeX RDF	network measurement, ensemble learning, traffic classification, co-training
3	Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.	Ensemble of HMM classifiers based on the clustering validity index for a handwritten numeral recognizer.	Pattern Anal. Appl.	2009	DBLP DOI BibTeX RDF	Codebook size, Pattern recognition, Hidden Markov Models, Ensemble of classifiers, Clustering validity index
3	Angelo Ciaramella, Giulio Giunta, Angelo Riccio, Stefano Galmarini	Independent Data Model Selection for Ensemble Dispersion Forecasting.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
3	Grigorios Tsoumakas, Ioannis Partalas, Ioannis P. Vlahavas	An Ensemble Pruning Primer.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
3	Georg Krempl, Vera Hofer	Partitioner Trees for Classification: A New Ensemble Method.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
3	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
3	Alon Schclar, Lior Rokach	Random Projection Ensemble Classifiers.	ICEIS	2009	DBLP DOI BibTeX RDF	Classification, Pattern recognition, Ensemble methods, Random projections
3	Bo Ning, Xianbin Cao, Yan Wu Xu, Jun Zhang 0007	Virus-evolutionary genetic algorithm based selective ensemble classifier for pedestrian detection.	GEC Summit	2009	DBLP DOI BibTeX RDF	virus-evolutionary genetic algorithm, classifier, pedestrian detection, selective ensemble
3	Shiliang Sun	Traffic flow forecasting based on multitask ensemble learning.	GEC Summit	2009	DBLP DOI BibTeX RDF	multitask learning, traffic flow forecasting, neural network, ensemble learning
3	Xiuli Ma, Wanggen Wan, Licheng Jiao	Spectral clustering ensemble for image segmentation.	GEC Summit	2009	DBLP DOI BibTeX RDF	image segmentation., nystrom approximation, spectral clustering, cluster ensemble
3	Xuesong Wang, Yangyang Gu, Yuhu Cheng, Ruhai Lei	An Ensemble Classifier Based on Kernel Method for Multi-situation DNA Microarray Data.	ICIC	2009	DBLP DOI BibTeX RDF	Multi-situation, DNA microarray data, Kernel method, Classifier, Ensemble learning
3	Vladimir B. Berikov	Construction of the Ensemble of Logical Models in Cluster Analysis.	ICIC	2009	DBLP DOI BibTeX RDF	ensemble of logical models, distance between logical statements, adaptive planning, Bayes models, decision trees, cluster analysis
3	Pei-Chann Chang, Chen-Hao Liu, Chin-Yuan Fan, Jun-Lin Lin, Chih-Ming Lai	An Ensemble of Neural Networks for Stock Trading Decision Making.	ICIC	2009	DBLP DOI BibTeX RDF	Stock turning signals, Ensemble neural network, PLR method, Financial time series data
3	Jin Zhou, Yuqi Pan, Yuehui Chen, Yang Liu	Ensemble Classifiers Based on Kernel PCA for Cancer Data Classification.	ICIC	2009	DBLP DOI BibTeX RDF	Cancer data classification, Support vector machine, Kernel principal component analysis, Ensemble classifier, Binary particle swarm optimization
3	Sandro Vega-Pons, José Ruiz-Shulcloper	Clustering Ensemble Method for Heterogeneous Partitions.	CIARP	2009	DBLP DOI BibTeX RDF	co-association matrix, similarity measure, object representation, Cluster ensemble
3	Jan Mandel, Jonathan D. Beezley	An Ensemble Kalman-Particle Predictor-Corrector Filter for Non-Gaussian Data Assimilation.	ICCS	2009	DBLP DOI BibTeX RDF	ensemble Kalman filter, non-parametric density estimation, tracking, particle filter, data assimilation, Bayesian statistics, Dynamic data driven application systems
3	Lei Zuo, Ligang Hou, Wuchen Wu, Jinhui Wang, Shuqin Geng	Fault Diagnosis of Analog IC Based on Wavelet Neural Network Ensemble.	ISNN	2009	DBLP DOI BibTeX RDF	Wavelet neural network ensemble, Fault diagnosis, Adaboost
3	Lei Wang, Yong Yang	Selective Ensemble Algorithms of Support Vector Machines Based on Constraint Projection.	ISNN	2009	DBLP DOI BibTeX RDF	Constraint projection, Support vector machines, Selective ensemble
3	Jiansheng Wu, Enhong Chen	A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network.	ISNN	2009	DBLP DOI BibTeX RDF	Rainfall Forecasting, Particle Swarm Optimization, Neural Network Ensemble, Nonparametric Regression
3	Jianjun Liu, Shengping Xia, Weidong Hu, Wenxian Yu	Weights Updated Voting for Ensemble of Neural Networks Based Incremental Learning.	ISNN	2009	DBLP DOI BibTeX RDF	Neural networks, Machine learning, Incremental learning, Neural network ensemble
3	Nan-Chen Hsieh, Lun-Ping Hung, Chia-Ling Ho	A Data Driven Ensemble Classifier for Credit Scoring Analysis.	PAKDD	2009	DBLP DOI BibTeX RDF	class-wise classification, credit scoring system, Clustering, neural network, Bayesian network, ensemble classifier
3	Peng Zhang, Xingquan Zhu, Yong Shi, Xindong Wu	An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise.	PAKDD	2009	DBLP DOI BibTeX RDF	Noisy Data Streams, Ensemble Learning, Concept Drifting
3	Jakkrit TeCho, Cholwich Nattee, Thanaruk Theeramunkong	A Corpus-Based Approach for Automatic Thai Unknown Word Recognition using Ensemble Learning Techniques.	PAKDD	2009	DBLP DOI BibTeX RDF	Unknown word recognition, Word boundary detection, Data mining, Machine learning, Ensemble learning
3	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
3	Vladimir Nikulin, Geoffrey J. McLachlan, Shu-Kay Ng	Ensemble Approach for the Classification of Imbalanced Data.	Australasian Conference on Artificial Intelligence	2009	DBLP DOI BibTeX RDF	gradient-based optimisation, decision trees, boosting, random forest, ensemble classifier
3	Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan	Combining statistics and semantics via ensemble model for document clustering.	SAC	2009	DBLP DOI BibTeX RDF	WordNet, ensemble learning, disambiguation, text clustering
3	Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A. J. Hilbers, Timo Honkela, Erkki Oja, Amaury Lendasse	Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction.	ICANN	2009	DBLP DOI BibTeX RDF	ensemble models, adaptivity, sliding window, time series prediction, nonstationarity, extreme learning machine
3	Marcin Korytkowski, Robert Nowicki, Rafal Scherer	Neuro-fuzzy Rough Classifier Ensemble.	ICANN	2009	DBLP DOI BibTeX RDF	rough sets, classifier ensemble, Neuro-fuzzy
3	Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez	Statistical Instance-Based Ensemble Pruning for Multi-class Problems.	ICANN	2009	DBLP DOI BibTeX RDF	Instance based pruning, neural networks, ensemble learning
3	Alon Schclar, Alexander Tsikinovsky, Lior Rokach, Amnon Meisels, Liat Antwarg	Ensemble methods for improving the performance of neighborhood-based collaborative filtering.	RecSys	2009	DBLP DOI BibTeX RDF	neighborhood based collaborative filtering, collaborative filtering, ensemble methods
3	Suman Saha, C. A. Murthy, Sankar K. Pal	Rough Ensemble Classifier: A Comparative Study.	WILF	2009	DBLP DOI BibTeX RDF	Redundant classifiers, Base-level classifier, Classification, Rough set, Meta data, Ensemble classifier, Combination method
3	Hao Ma, Irwin King, Michael R. Lyu	Learning to recommend with social trust ensemble.	SIGIR	2009	DBLP DOI BibTeX RDF	social trust ensemble, social network, recommender systems, matrix factorization
3	Wei Qu, Yang Zhang, Junping Zhu, Qiang Qiu	Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble.	ACML	2009	DBLP DOI BibTeX RDF	Binary Relevance, Dynamic Classifier Ensemble, Data Stream, Concept Drift, Multi-label
3	JeongHee Shim, KiHee Park, ByoungChul Ko, Jae Yeal Nam	X-Ray Image Classification and Retrieval Using Ensemble Combination of Visual Descriptors.	PSIVT	2009	DBLP DOI BibTeX RDF	H-CSD, EHD, ensemble vector, MISS, SVM
3	Yllias Chali, Sadid A. Hasan, Shafiq R. Joty	A SVM-Based Ensemble Approach to Multi-Document Summarization.	Canadian Conference on AI	2009	DBLP DOI BibTeX RDF	Cross-Validation Committees, Support Vector Machines, Ensemble, Multi-Document Summarization
3	Frank Rosenthal, Peter Benjamin Volk, Martin Hahmann, Dirk Habich, Wolfgang Lehner	Drift-Aware Ensemble Regression.	MLDM	2009	DBLP DOI BibTeX RDF	Process Drift, Regression, Ensemble Method
3	Rakkrit Duangsoithong, Terry Windeatt	Relevance and Redundancy Analysis for Ensemble Classifiers.	MLDM	2009	DBLP DOI BibTeX RDF	Redundant feature, Irrelevant feature, Feature selection, Ensemble classification
3	Pei-Pei Li, Xuegang Hu, Qianhui Liang, Yunjun Gao	Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees.	MLDM	2009	DBLP DOI BibTeX RDF	Ensemble Decision Trees, Data Streams, Noise, Concept Drift
3	Jinlong Wang, Ke Gao, Yang Jiao, Gang Li	Study on Ensemble Classification Methods towards Spam Filtering.	ADMA	2009	DBLP DOI BibTeX RDF	spam email filtering, classification, ensemble
3	Zhiyong Lin, Zhifeng Hao, Xiaowei Yang, Xiaolan Liu	Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning.	ADMA	2009	DBLP DOI BibTeX RDF	Imbalanced data learning, Under-sampling, SVM, Ensemble
3	Minghao Piao, Jong Bum Lee, Khalid E. K. Saeed, Keun Ho Ryu	Discovery of Significant Classification Rules from Incrementally Inducted Decision Tree Ensemble for Diagnosis of Disease.	ADMA	2009	DBLP DOI BibTeX RDF	Incremental tree induction, Cascading and Sharing, Ensemble method, Classification rules
3	Gustavo A. Casañ, Maria Asunción Castaño	An Ensemble Based Translator for Natural Languages.	IWANN	2009	DBLP DOI BibTeX RDF	Neural Networks, Rules, Machine Translation, Ensemble
3	Albert Bifet, Geoffrey Holmes, 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
3	Simon Bernard, Laurent Heutte, Sébastien Adam	Towards a Better Understanding of Random Forests through the Study of Strength and Correlation.	ICIC	2009	DBLP DOI BibTeX RDF	Classifier Selection, Classification, Decision Trees, Ensemble Method, Random Forests, Ensemble of Classifiers
3	Marek Reformat, Ronald R. Yager	Building ensemble classifiers using belief functions and OWA operators.	Soft Comput.	2008	DBLP DOI BibTeX RDF	Ensemble systems, Dempster-Shafer evidence theory, Belief functions, Ordered weighted averaging operator, Rule-based models
3	Naohiro Ishii, Takahiro Yamada, Yongguang Bao	Text Classification by Relearning and Ensemble Computation.	Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing	2008	DBLP DOI BibTeX RDF	Relearning, Ensemble Computation, Text Classification, kNN
3	Lean Yu, Kin Keung Lai, Shouyang Wang	An Evolutionary Programming Based Knowledge Ensemble Model for Business Risk Identification.	Soft Computing Applications in Business	2008	DBLP DOI BibTeX RDF	Business risk identification, knowledge ensemble, multivariate discriminant analysis, logit regression analysis, data mining, support vector machines, artificial neural network, soft computing, evolutionary programming
3	Lean Yu, Shouyang Wang, Kin Keung Lai	An EMD-Based Neural Network Ensemble Learning Model for World Crude Oil Spot Price Forecasting.	Soft Computing Applications in Business	2008	DBLP DOI BibTeX RDF	adaptive linear neural network, crude oil price prediction, ensemble learning, Empirical mode decomposition, feed-forward neural network
3	Michael Johnson	Mathematical Support for Ensemble Engineering.	Software-Intensive Systems and New Computing Paradigms	2008	DBLP DOI BibTeX RDF	Ensemble engineering, inconsistency analysis, category theory, universal algebra
3	Abbas Ahmadi, Fakhri Karray, Mohamed Kamel	Particle swarm clustering ensemble.	GECCO	2008	DBLP DOI BibTeX RDF	multiple cooperative swarms, particle swarm optimization, data clustering, clustering ensemble
3	Shenglan Ben, Guangda Su, Youshou Wu	A Two-Step Selective Region Ensemble for Facial Age Estimation.	ICIC	2008	DBLP DOI BibTeX RDF	region selection, age range, age estimation, selective ensemble, facial image
3	Wei Li, Yuehui Chen, Yaou Zhao	Multi-layer Ensemble Classifiers on Protein Secondary Structure Prediction.	ICIC	2008	DBLP DOI BibTeX RDF	PSSM, Protein secondary structure prediction, Ensemble classification
3	Yue Liu, Yafeng Yin, Zaixia Teng, Qi Wu, Guo-Zheng Li	Activities Prediction of Drug Molecules by Using the Optimal Ensemble Based on Uniform Design.	ICIC	2008	DBLP DOI BibTeX RDF	Uniform Design, Neural Network Ensemble, Drug Design
3	Sandro Vega-Pons, Jyrko Correa-Morris, José Ruiz-Shulcloper	Weighted Cluster Ensemble Using a Kernel Consensus Function.	CIARP	2008	DBLP DOI BibTeX RDF	cluster ensemble, graph kernel, consensus function
3	Carlos Orrite, Mario Rodríguez, Francisco Martínez-Contreras, Michael C. Fairhurst	Classifier Ensemble Generation for the Majority Vote Rule.	CIARP	2008	DBLP DOI BibTeX RDF	Ensemble generation, Majority vote, Combining classifiers
3	Boris Defourny, Damien Ernst, Louis Wehenkel	Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees.	EWRL	2008	DBLP DOI BibTeX RDF	Stochastic dynamic programming, Ensemble methods
3	Hiromi Miyajima, Noritaka Shigei, Shinya Fukumoto, Toshiaki Miike	Parallel Fuzzy Reasoning Models with Ensemble Learning.	ISNN	2008	DBLP DOI BibTeX RDF	Fuzzy reasoning model, AdaBoost, Ensemble learning, Parallel model
3	Michael C. Lee, Lilla Böröczky, Kivilcim Sungur-Stasik, Aaron D. Cann, Alain C. Borczuk, Steven M. Kawut, Charles A. Powell	A Two-Step Approach for Feature Selection and Classifier Ensemble Construction in Computer-Aided Diagnosis.	CBMS	2008	DBLP DOI BibTeX RDF	genetic algorithm, feature selection, computer-aided diagnosis, classifier ensemble, lung cancer
3	Patricio García Báez, Carlos Fernández Viadero, José Regidor García, Carmen Paz Suárez Araujo	An Ensemble Approach for the Diagnosis of Cognitive Decline with Missing Data.	HAIS	2008	DBLP DOI BibTeX RDF	Alzheimer’s Disease, Cognitive Tests, k-fold Cross-validation, Counterpropagation, Multi-net, Artificial Neural Network, Diagnosis, Ensemble, Missing Data, Dementia, Modular Neural Network, Cognitive Decline
3	Yusuke Nojima, Hisao Ishibuchi	Effects of Diversity Measures on the Design of Ensemble Classifiers by Multiobjective Genetic Fuzzy Rule Selection with a Multi-classifier Coding Scheme.	HAIS	2008	DBLP DOI BibTeX RDF	Ensemble Classifiers, Genetic Fuzzy Systems, Diversity Measures
3	Laura Emmanuella A. Santana, Anne M. P. Canuto, João Carlos Xavier Jr.	Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods.	ICANN	2008	DBLP DOI BibTeX RDF	Ensemble systems, Feature distribution in Ensembles, Diversity
3	Inae Choi, Hyunjung Shin	Semi-supervised Learning with Ensemble Learning and Graph Sharpening.	IDEAL	2008	DBLP DOI BibTeX RDF	Graph sharpening, Hyperparameter selection, Semi-supervised learning, Ensemble learning, Noise reduction
3	Lei Lu, Xiaoqin Zeng, Shengli Wu, Shuiming Zhong	A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks.	IDEAL	2008	DBLP DOI BibTeX RDF	the second training, clustering, diversity, fusion, sensitivity, Ensemble learning
3	Pakaket Wattuya, Xiaoyi Jiang	Ensemble Combination for Solving the Parameter Selection Problem in Image Segmentation.	SSPR/SPR	2008	DBLP DOI BibTeX RDF	ensemble combination concept, multiple segmentation combination, Image segmentation, parameter selection
3	Israel Huff, Chris Weigle, David C. Banks	Ensemble-space visualization improves perception of 3D state of molecular dynamics simulation.	APGV	2008	DBLP DOI BibTeX RDF	bulk properties, ensemble space, pair correlation, radial function, scalable visualization, perception, molecular dynamics
3	Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam Hj. Shamsuddin	Data Reduction and Ensemble Classifiers in Intrusion Detection.	Asia International Conference on Modelling and Simulation	2008	DBLP DOI BibTeX RDF	ANFIS and LGP, intrusion detection, ensemble
3	Cancan Liu, Weimin Zhang, Zhigang Luo, Hai Liu, Yan Zhong	A Scientific-Workflow-Based Execution Environment for Ensemble Prediction.	GPC Workshops	2008	DBLP DOI BibTeX RDF	ensemble prediction, ensemble member, virtualized services, scientific workflow, two-level scheduling
3	Ayse Tosun, Burak Turhan, Ayse Basar Bener	Ensemble of software defect predictors: a case study.	ESEM	2008	DBLP DOI BibTeX RDF	static code attributes, defect prediction, ensemble of classifiers
3	Bruno H. G. Barbosa, Lam Thu Bui, Hussein A. Abbass, Luis Antonio Aguirre, Antônio de Pádua Braga	Evolving an Ensemble of Neural Networks Using Artificial Immune Systems.	SEAL	2008	DBLP DOI BibTeX RDF	immune artificial systems, clonal, Neural network, regression, ensemble
3	Yigit Kultur, Burak Turhan, Ayse Basar Bener	ENNA: software effort estimation using ensemble of neural networks with associative memory.	SIGSOFT FSE	2008	DBLP DOI BibTeX RDF	neural network, multilayer perceptron, bootstrap, associative memory, ensemble, K nearest neighbors, effort estimation, cost estimation, adaptive resonance theory
3	Jian Huang 0002, Omid Madani, C. Lee Giles	Error-driven generalist+experts (edge): a multi-stage ensemble framework for text categorization.	CIKM	2008	DBLP DOI BibTeX RDF	many class classification, text categorization, ensemble learning
3	An Zeng, Dan Pan, Jian-bin He	Prediction of MHC II-binding peptides using rough set-based rule sets ensemble.	Appl. Intell.	2007	DBLP DOI BibTeX RDF	Rule sets ensemble, Major Histocompatibility Complex, Peptide prediction, Rough set
3	Sung-Bae Cho, Hong-Hee Won	Cancer classification using ensemble of neural networks with multiple significant gene subsets.	Appl. Intell.	2007	DBLP DOI BibTeX RDF	Multiple significant gene subsets, Gene expression data, DNA microarray, Ensemble classifier, Cancer classification
3	Zhi-Hua Zhou, Min-Ling Zhang	Solving multi-instance problems with classifier ensemble based on constructive clustering.	Knowl. Inf. Syst.	2007	DBLP DOI BibTeX RDF	Clustering, Machine learning, Classification, Knowledge representation, Ensemble learning, Constructive induction, Multi-instance learning
3	Ajith Abraham, Crina Grosan, Stefan Tigan	Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs.	Neural Computing and Applications	2007	DBLP DOI BibTeX RDF	Ensemble learning, Neuro-fuzzy, Drug design, Hybrid learning, Evolutionary neural network
3	Siddharth Pal, David J. Miller	An Extension of Iterative Scaling for Decision and Data Aggregation in Ensemble Classification.	VLSI Signal Processing	2007	DBLP DOI BibTeX RDF	improved iterative scaling, mixed continuous-discrete feature spaces, maximum entropy, ensemble classification
3	Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini	Ensemble learning for free with evolutionary algorithms?	GECCO	2007	DBLP DOI BibTeX RDF	evolutionary computation, ensemble learning
3	Huanhuan Chen, Xin Yao	Evolutionary Ensemble for In Silico Prediction of Ames Test Mutagenicity.	ICIC	2007	DBLP DOI BibTeX RDF	Ames Test Mutagenicity, In silico models, Evolutionary Ensemble, Negative Correlation Learning
3	Jian Xiang	Motion Retrieval with Temporal-Spatial Features Based on Ensemble Learning.	ICIC	2007	DBLP DOI BibTeX RDF	Temporal-Spatial, HMM, Motion Capture, Ensemble Learning
3	Kin Keung Lai, Lean Yu, Shouyang Wang, Wei Huang	An Intelligent CRM System for Identifying High-Risk Customers: An Ensemble Data Mining Approach.	International Conference on Computational Science	2007	DBLP DOI BibTeX RDF	ensemble data mining, high-risk customer identification, support vector machine, Customer relationship management
3	Lean Yu, Shouyang Wang, Kin Keung Lai	A Hybrid Econometric-AI Ensemble Learning Model for Chinese Foreign Trade Prediction.	International Conference on Computational Science	2007	DBLP DOI BibTeX RDF	error-correction vector auto-regression, hybrid ensemble learning, foreign trade prediction, Artificial neural networks
3	Kin Keung Lai, Kaijian He, Jerome Yen	Modeling VaR in Crude Oil Market: A Multi Scale Nonlinear Ensemble Approach Incorporating Wavelet Analysis and ANN.	International Conference on Computational Science	2007	DBLP DOI BibTeX RDF	Nonlinear Ensemble Algorithm, Artificial Neural Network, Wavelet Analysis, Value at Risk
3	Genlin Ji, Xiaohan Ling	Ensemble Learning Based Distributed Clustering.	PAKDD Workshops	2007	DBLP DOI BibTeX RDF	data mining, ensemble learning, Distributed clustering
3	Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.	A New Dynamic Ensemble Selection Method for Numeral Recognition.	MCS	2007	DBLP DOI BibTeX RDF	Fusion Function, Ensemble of Learning Machines, Pattern Recognition, Diversity, Majority Voting, Combining Classifiers, Confusion Matrix
3	Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.	A New HMM-Based Ensemble Generation Method for Numeral Recognition.	MCS	2007	DBLP DOI BibTeX RDF	Codebook Size, Clustering Validity Index, Pattern Recognition, Hidden Markov Models, Ensemble of Classifiers
3	Shiliang Sun	Ensemble Learning Methods for Classifying EEG Signals.	MCS	2007	DBLP DOI BibTeX RDF	boosting, ensemble learning, bagging, random subspace, EEG signal classification
3	M. Chen, S. Liu, L. L. Tieszen	Optimization of an ecosystem model through the assimilation of eddy flux observations using a smoothed ensemble Kalman filter.	SCSC	2007	DBLP DOI BibTeX RDF	AmeriFlux data, ecosystem respiration, gross primary production, net ecosystem exchange, smoothed ensemble Kalman filter