Search results for "Ensemble"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
37	Jin Zhou 0003, Yuqi Pan, Yuehui Chen, Yang Liu	Ensemble Classifiers Based on Kernel PCA for Cancer Data Classification.	ICIC (2)	2009	DBLP DOI BibTeX RDF	Cancer data classification, Support vector machine, Kernel principal component analysis, Ensemble classifier, Binary particle swarm optimization
37	Peng Zhang 0001, Xingquan Zhu 0001, Yong Shi 0001, Xindong Wu 0001	An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise.	PAKDD	2009	DBLP DOI BibTeX RDF	Noisy Data Streams, Ensemble Learning, Concept Drifting
37	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 (2)	2009	DBLP DOI BibTeX RDF	ensemble models, adaptivity, sliding window, time series prediction, nonstationarity, extreme learning machine
37	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
37	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
37	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
37	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
37	Shiliang Sun	Ensemble Learning Methods for Classifying EEG Signals.	MCS	2007	DBLP DOI BibTeX RDF	boosting, ensemble learning, bagging, random subspace, EEG signal classification
37	Jian Xiang	Motion Retrieval with Temporal-Spatial Features Based on Ensemble Learning.	ICIC (2)	2007	DBLP DOI BibTeX RDF	Temporal-Spatial, HMM, Motion Capture, Ensemble Learning
37	Chen Liao, Shutao Li	A Support Vector Machine Ensemble for Cancer Classification Using Gene Expression Data.	ISBRA	2007	DBLP DOI BibTeX RDF	Wilcoxon Rank Sum Test, Support Vector Machine, Gene Selection, Ensemble Classifier, Classification Accuracy
37	Lean Yu, Shouyang Wang, Kin Keung Lai	A Hybrid Econometric-AI Ensemble Learning Model for Chinese Foreign Trade Prediction.	International Conference on Computational Science (4)	2007	DBLP DOI BibTeX RDF	error-correction vector auto-regression, hybrid ensemble learning, foreign trade prediction, Artificial neural networks
37	Bhekisipho Twala, Michelle Cartwright	Ensemble Imputation Methods for Missing Software Engineering Data.	IEEE METRICS	2005	DBLP DOI BibTeX RDF	software prediction, Machine learning, decision trees, ensemble, incomplete data, imputation
37	Bin He 0001, 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
37	Adrian Sandu, Emil M. Constantinescu, Wenyuan Liao, Gregory R. Carmichael, Tianfeng Chai, John H. Seinfeld, Dacian N. Daescu	Ensemble-Based Data Assimilation for Atmospheric Chemical Transport Models.	International Conference on Computational Science (2)	2005	DBLP DOI BibTeX RDF	Dynamic data-driven applications and systems (d3as), background covariance, ensemble Kalman filter, total energy singular vectors, data assimilation, autoregressive processes
37	K. H. (Kane) Kim, Emmanuel Henrich, Chansik Im, Moon-Cheol Kim, Sung-Jin Kim, Yuqing Li, Sheng Liu, Seung-Mok Yoo, Liangchen Zheng, Qian Zhou	Distributed Computing Based Streaming and Play of Music Ensemble Realized Through TMO Programming.	WORDS	2005	DBLP DOI BibTeX RDF	TCoDA, Multimedia, Real-time, synchronous, streaming, Music, Digital, Ensemble, TMO
37	Ryan H. Lilien, Brian W. Stevens, Amy C. Anderson, Bruce Randall Donald	A novel ensemble-based scoring and search algorithm for protein redesign, and its application to modify the substrate specificity of the gramicidin synthetase a phenylalanine adenylation enzyme.	RECOMB	2004	DBLP DOI BibTeX RDF	enzyme design, fluorescence binding assay, molecular ensemble, non-ribosomal peptide synthetase, protein flexibility, protein-ligand binding, protein design
37	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
37	Kosuke Imamura, Terence Soule, Robert B. Heckendorn, James A. Foster	Behavioral Diversity and a Probabilistically Optimal GP Ensemble.	Genet. Program. Evolvable Mach.	2003	DBLP DOI BibTeX RDF	classification, diversity, ensemble, N-version programming
37	John Yiannis Cotronis	Efficient Program Composition on Parix by the Ensemble Methodology.	EUROMICRO	1996	DBLP DOI BibTeX RDF	program composition, Parix, Ensemble methodology, message passing program composition methodology, Process Communication Graphs, application scripts, universal Parix program loader, communication dependencies, complexities, message passing, parallel virtual machine
36	Simon Bernard 0001, Laurent Heutte, Sébastien Adam	Towards a Better Understanding of Random Forests through the Study of Strength and Correlation.	ICIC (2)	2009	DBLP DOI BibTeX RDF	Classifier Selection, Classification, Decision Trees, Ensemble Method, Random Forests, Ensemble of Classifiers
36	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
36	Zhi-Hua Zhou	Multi-Instance Learning from Supervised View.	J. Comput. Sci. Technol.	2006	DBLP DOI BibTeX RDF	multi-instance ensemble, machine learning, supervised learning, ensemble learning, multi-instance learning
36	Dengyuan Wu, Ying Liu 0039, Ge Gao, Zhendong Mao, Weishan Ma, Tao He	An adaptive ensemble classifier for concept drifting stream.	CIDM	2009	DBLP DOI BibTeX RDF
36	Mohammad M. Masud 0001, Jing Gao 0004, Latifur Khan, Jiawei Han 0001, Bhavani Thuraisingham	A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams.	PAKDD	2009	DBLP DOI BibTeX RDF
36	Ravi Vadapalli, Ping Luo, Taesung Kim, Ajitabh Kumar, Shameem Siddiqui	Demonstration of grid-enabled ensemble Kalman Filter data assimilation methodology for reservoir characterization.	Mardi Gras Conference	2008	DBLP DOI BibTeX RDF	EnKF, GridWay, TIGRE, energy exploration, reservoir modeling
36	Kai Kang, Huaxiang Zhang 0001, Ying Fan	A Novel Clusterer Ensemble Algorithm Based on Dynamic Cooperation.	FSKD (1)	2008	DBLP DOI BibTeX RDF
36	Zhiwen Yu 0002, Zhongkai Deng, Hau-San Wong, Xing Wang	Knowledge based Cluster Ensemble.	IJCNN	2008	DBLP DOI BibTeX RDF
36	Yong Liu 0012	A Balanced Ensemble Learning with Adaptive Error Functions.	ISICA	2008	DBLP DOI BibTeX RDF
36	Lesedi Melton Masisi, Fulufhelo V. Nelwamondo, Tshilidzi Marwala	Investigating Ensemble Weight and the Certainty Distributions for Indicating Structural Diversity.	ICONIP (2)	2008	DBLP DOI BibTeX RDF
36	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
36	Jaume Bacardit, Natalio Krasnogor	Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System.	IWLCS	2007	DBLP DOI BibTeX RDF
36	Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh	Local Ensemble Kernel Learning for Object Category Recognition.	CVPR	2007	DBLP DOI BibTeX RDF
36	Shengyang Dai, Ming Yang 0007, Ying Wu 0001, Aggelos K. Katsaggelos	Detector Ensemble.	CVPR	2007	DBLP DOI BibTeX RDF
36	Chu Kiong Loo, Augustine Law, Way-Soong Lim, M. V. C. Rao	Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation.	Neural Comput. Appl.	2006	DBLP DOI BibTeX RDF	Simplified fuzzy ARTMAP, Plurality voting, Sonar target differentiation
36	Veronika Nefedova, Robert L. Jacob, Ian T. Foster, Zhengyu Liu, Yun Liu, Ewa Deelman, Gaurang Mehta, Mei-Hui Su, Karan Vahi	Automating Climate Science: Large Ensemble Simulations on the TeraGrid with the GriPhyN Virtual Data System.	e-Science	2006	DBLP DOI BibTeX RDF
36	Sheng Gao, Chin-Hui Lee, Joo-Hwee Lim	An ensemble classifier learning approach to ROC optimization.	ICPR (2)	2006	DBLP DOI BibTeX RDF
36	Yusuke Nojima, Hisao Ishibuchi	Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion.	HIS	2006	DBLP DOI BibTeX RDF
36	Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.	Combining Diversity and Classification Accuracy for Ensemble Selection in Random Subspaces.	IJCNN	2006	DBLP DOI BibTeX RDF
36	Lean Yu, Wei Huang 0006, Kin Keung Lai, Shouyang Wang	A Reliability-Based RBF Network Ensemble Model for Foreign Exchange Rates Predication.	ICONIP (3)	2006	DBLP DOI BibTeX RDF
36	Andreas Heß 0002, Rinat Khoussainov, Nicholas Kushmerick	Ensemble Learning with Biased Classifiers: The Triskel Algorithm.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
36	Haixia Chen, Senmiao Yuan, Kai Jiang	Wrapper Approach for Learning Neural Network Ensemble by Feature Selection.	ISNN (1)	2005	DBLP DOI BibTeX RDF
36	Xiangrong Zhang, Shuang Wang 0001, Tan Shan, Licheng Jiao	Selective SVMs Ensemble Driven by Immune Clonal Algorithm.	EvoWorkshops	2005	DBLP DOI BibTeX RDF
36	Shude Zhou, Zengqi Sun	Using Ensemble Method to Improve the Performance of Genetic Algorithm.	CIS (1)	2005	DBLP DOI BibTeX RDF
36	Yonghong Peng	Robust Ensemble Learning for Cancer Diagnosis Based on Microarray Data Classification.	ADMA	2005	DBLP DOI BibTeX RDF
36	Imran Maqsood, Muhammad Riaz Khan, Ajith Abraham	An ensemble of neural networks for weather forecasting.	Neural Comput. Appl.	2004	DBLP DOI BibTeX RDF	Model, Artificial neural networks, Forecasting, Ensembles, Weather
36	Rong Jin 0001, Huan Liu 0001	SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data.	ECML	2004	DBLP DOI BibTeX RDF
36	Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana	Shared Ensemble Learning Using Multi-trees.	IBERAMIA	2002	DBLP DOI BibTeX RDF	Hypothesis Combination, Randomisation, Machine Learning, Decision support systems, Boosting, Decision-tree learning
36	Ohad Rodeh, Kenneth P. Birman, Danny Dolev	The architecture and performance of security protocols in the ensemble group communication system: Using diamonds to guard the castle.	ACM Trans. Inf. Syst. Secur.	2001	DBLP DOI BibTeX RDF	security, Group communication
36	Sidney Cadot, Frits Kuijlman, Koen Langendoen, Kees van Reeuwijk, Henk J. Sips	ENSEMBLE: A Communication Layer for Embedded Multi-Processor Systems.	LCTES/OM	2001	DBLP DOI BibTeX RDF
36	Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal	Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics.	ADBIS	2001	DBLP DOI BibTeX RDF
36	Jon B. Weissman, Pramod Srinivasan	Ensemble Scheduling: Resource Co-Allocation on the Computational Grid.	GRID	2001	DBLP DOI BibTeX RDF
36	Michele Di Santo, Wilma Russo	The ensemble system: concurrent programming on a personal computer.	ACM SIGPLAN Notices	1991	DBLP DOI BibTeX RDF	Turbo Pascal
36	Cédric Wemmert, Germain Forestier, Sébastien Derivaux	Improving Supervised Learning with Multiple Clusterings.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
36	Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio	Disturbing Neighbors Diversity for Decision Forests.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
36	Francesco Gargiulo 0001, Antonio Penta, Antonio Picariello, Carlo Sansone	A Personal Antispam System Based on a Behaviour-Knowledge Space Approach.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
36	Muna Al-Razgan, Carlotta Domeniconi	Clustering Ensembles with Active Constraints.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
36	Pedro Gago, Manuel Filipe Santos	Evaluating Hybrid Ensembles for Intelligent Decision Support for Intensive Care.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
36	Sebastian Nusser, Clemens Otte, Werner Hauptmann	Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclassification Costs.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
36	Terry Windeatt	Weighted Decoding ECOC for Facial Action Unit Classification.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
36	Gabriele Lombardi, Elena Casiraghi, Paola Campadelli	The Neighbors Voting Algorithm and Its Applications.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
36	Matteo Re, Giorgio Valentini	Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
36	Erinija Pranckeviciene	Integrating Liknon Feature Selection and Committee Training.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
36	Battista Biggio, Giorgio Fumera, Fabio Roli	Evade Hard Multiple Classifier Systems.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
36	Hanan Ayad, Mohamed S. Kamel	Cumulative Voting Consensus Method for Partitions with Variable Number of Clusters.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	Cluster Analysis, Voting, Ensemble Methods, Consensus Clustering
36	Joanna Jedrzejowicz, Piotr Jedrzejowicz	GEP-Induced Expression Trees as Weak Classifiers.	ICDM	2008	DBLP DOI BibTeX RDF	classification, ensemble methods, gene expression programming
36	Naohiro Ishii, Takahiro Yamada, Yongguang Bao	Improved Accuracy by Relearning and Combining Distance Functions.	KES (2)	2008	DBLP DOI BibTeX RDF	distance functions for classification, relearning, ensemble computation, text classification
36	E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao 0001	An analysis of diversity measures.	Mach. Learn.	2006	DBLP DOI BibTeX RDF	Margin distribution, Disagreement measure, Double fault measure, KW variance, Interrater agreement, Generalized diversity, Measure of difficulty, Coincident failure diversity, Classifier ensemble, Majority vote, Diversity measures, Entropy measure
36	Bin He 0001, Kevin Chen-Chuan Chang	Automatic complex schema matching across Web query interfaces: A correlation mining approach.	ACM Trans. Database Syst.	2006	DBLP DOI BibTeX RDF	bagging predictors, Data integration, ensemble, schema matching, deep Web, correlation mining
36	SongGuo Jin, Eun Sung Jung, Md. Rezaul Bashar, Mi Young Nam, Phill-Kyu Rhee	Adaptive Classifier Selection on Hierarchical Context Modeling for Robust Vision Systems.	KES (3)	2006	DBLP DOI BibTeX RDF	evolvable classifier selection, hierarchical context modeling and genetic algorithm, context awareness, face recognition, classifier ensemble
36	Pawalai Kraipeerapun, Chun Che Fung, Sathit Nakkrasae	Porosity Prediction Using Bagging of Complementary Neural Networks.	ISNN (1)	2009	DBLP DOI BibTeX RDF
36	Minlong Lin, Ke Tang 0001, Xin Yao 0001	Selective negative correlation learning algorithm for incremental learning.	IJCNN	2008	DBLP DOI BibTeX RDF
36	Ulf Johansson, Tuve Löfström, Henrik Boström	The problem with ranking ensembles based on training or validation performance.	IJCNN	2008	DBLP DOI BibTeX RDF
36	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set.	ICANN (1)	2008	DBLP DOI BibTeX RDF
36	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
36	Yun Sheng Chung, D. Frank Hsu, Chuan Yi Tang	On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles.	MCS	2007	DBLP DOI BibTeX RDF
36	Anneleen Van Assche, Hendrik Blockeel	Seeing the Forest Through the Trees.	ILP	2007	DBLP DOI BibTeX RDF	first order decision trees, ensembles, comprehensibility
36	Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez 0001	Selection of Decision Stumps in Bagging Ensembles.	ICANN (1)	2007	DBLP DOI BibTeX RDF
36	D. B. Redpath, Katia Lebart	Boosting Feature Selection.	ICAPR (1)	2005	DBLP DOI BibTeX RDF
36	Huan Liu, Amit Mandvikar, Jigar Mody	An Empirical Study of Building Compact Ensembles.	WAIM	2004	DBLP DOI BibTeX RDF
36	Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham	Diversity in Random Subspacing Ensembles.	DaWaK	2004	DBLP DOI BibTeX RDF
36	S. S. Ravindran	Reduced-Order Adaptive Controllers for Fluid Flows Using POD.	J. Sci. Comput.	2000	DBLP DOI BibTeX RDF	POD, adaptive control, flow control, reduced-order model
31	Cancan Liu, Weimin Zhang, Zhigang Luo, Hai Liu 0014, 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
31	Sheng Tong	Tangential Sphere Bounds on the Ensemble Performance of ML Decoded Gallager Codes via Their Exact Ensemble Distance Spectrum.	ICC	2008	DBLP DOI BibTeX RDF
31	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
31	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
31	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
31	Albert Bifet, Geoffrey Holmes 0001, 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
31	Yllias Chali, Sadid A. Hasan, Shafiq R. Joty	A SVM-Based Ensemble Approach to Multi-Document Summarization.	Canadian AI	2009	DBLP DOI BibTeX RDF	Cross-Validation Committees, Support Vector Machines, Ensemble, Multi-Document Summarization
31	Vladimir B. Berikov	Construction of the Ensemble of Logical Models in Cluster Analysis.	ICIC (2)	2009	DBLP DOI BibTeX RDF	ensemble of logical models, distance between logical statements, adaptive planning, Bayes models, decision trees, cluster analysis
31	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 (2)	2009	DBLP DOI BibTeX RDF	Stock turning signals, Ensemble neural network, PLR method, Financial time series data
31	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
31	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
31	Alon Schclar, Lior Rokach	Random Projection Ensemble Classifiers.	ICEIS	2009	DBLP DOI BibTeX RDF	Classification, Pattern recognition, Ensemble methods, Random projections
31	Marek Z. 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
31	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
31	Lei Lu, Xiaoqin Zeng, Shengli Wu 0001, 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
31	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
31	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
31	Ajith Abraham, Crina Grosan, Stefan Tigan	Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs.	Neural Comput. Appl.	2007	DBLP DOI BibTeX RDF	Ensemble learning, Neuro-fuzzy, Drug design, Hybrid learning, Evolutionary neural network
31	Siddharth Pal, David J. Miller 0001	An Extension of Iterative Scaling for Decision and Data Aggregation in Ensemble Classification.	J. VLSI Signal Process.	2007	DBLP DOI BibTeX RDF	improved iterative scaling, mixed continuous-discrete feature spaces, maximum entropy, ensemble classification