Search results for "Ensemble"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
18	Zong Woo Geem	Improved Harmony Search from Ensemble of Music Players.	KES (1)	2006	DBLP DOI BibTeX RDF
18	Yu Su 0010, Shiguang Shan, Xilin Chen 0001, Wen Gao 0001	Hierarchical Ensemble of Gabor Fisher Classifier for Face Recognition.	FGR	2006	DBLP DOI BibTeX RDF
18	Jie Li 0001, Xinbo Gao 0001, Chunna Tian	FCM-Based Clustering Algorithm Ensemble for Large Data Sets.	FSKD	2006	DBLP DOI BibTeX RDF
18	Chien-I Lee, Cheng-Jung Tsai, Chih-Wei Ku	An Evolutionary and Attribute-Oriented Ensemble Classifier.	ICCSA (2)	2006	DBLP DOI BibTeX RDF
18	Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Bruno L. C. da Silva	Cluster Ensemble for Gene Expression Microarray Data: Accuracy and Diversity.	IJCNN	2006	DBLP DOI BibTeX RDF
18	Yun Yang 0003, Ke Chen 0001	An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering.	IJCNN	2006	DBLP DOI BibTeX RDF
18	Doo-Hyun Kim, Lila Kim, Hwasun Kwon, Dongwoon Jeon, Songah Chae	Location-Based Device Ensemble Architecture for a Spatial Reality Enhancement of Distributed Multimedia Presentation.	ICAT	2006	DBLP DOI BibTeX RDF	Spatial Reality, Distributed Multimedia Presentation, Scenario, Location, Markup Language
18	Carlos Nascimento Silla Jr., Celso A. A. Kaestner, Alessandro L. Koerich	Time-Space Ensemble Strategies for Automatic Music Genre Classification.	IBERAMIA-SBIA	2006	DBLP DOI BibTeX RDF
18	Shuichi Kurogi, Shinya Tanaka, Ryohei Koyama, Takeshi Nishida	Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of Units.	ICONIP (1)	2006	DBLP DOI BibTeX RDF
18	Kingshy Goh, Beitao Li, Edward Y. Chang	Semantics and feature discovery via confidence-based ensemble.	ACM Trans. Multim. Comput. Commun. Appl.	2005	DBLP DOI BibTeX RDF	Classification confidence, image annotation, semantics discovery
18	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
18	Hua Wu 0003, Haifeng Wang 0001	Improving Statistical Word Alignment with Ensemble Methods.	IJCNLP	2005	DBLP DOI BibTeX RDF
18	Jin Huang, Charles X. Ling	Partial Ensemble Classifiers Selection for Better Ranking.	ICDM	2005	DBLP DOI BibTeX RDF
18	Andrés Yáñez Escolano, Pedro Galindo Riaño, Joaquín Pizarro Junquera, Elisa Guerrero Vázquez	Statistical Ensemble Method (SEM): A New Meta-machine Learning Approach Based on Statistical Techniques.	IWANN	2005	DBLP DOI BibTeX RDF
18	Jinyan Li 0001, Huiqing Liu, Ling Li	Diagnostic Rules Induced by an Ensemble Method for Childhood Leukemia.	BIBE	2005	DBLP DOI BibTeX RDF
18	Peng Li, Kap Luk Chan, Sheng Fu, Shankar Muthu Krishnan	An Abnormal ECG Beat Detection Approach for Long-Term Monitoring of Heart Patients Based on Hybrid Kernel Machine Ensemble.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
18	Mordechai Gal-Or, Jerrold H. May, William E. Spangler	Using Decision Tree Models and Diversity Measures in the Selection of Ensemble Classification Models.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
18	Samuel Chindaro, Konstantinos Sirlantzis, Michael C. Fairhurst	Analysis and Modelling of Diversity Contribution to Ensemble-Based Texture Recognition Performance.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
18	Michael Muhlbaier, Apostolos Topalis, Robi Polikar	Ensemble Confidence Estimates Posterior Probability.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
18	Jin-Hyuk Hong, Sung-Bae Cho	Cancer Prediction Using Diversity-Based Ensemble Genetic Programming.	MDAI	2005	DBLP DOI BibTeX RDF
18	Jan Macek	Incremental Learning of Ensemble Classifiers on ECG Data.	CBMS	2005	DBLP DOI BibTeX RDF
18	Jian Tang, Zengqi Sun, Jihong Zhu 0001	Using Ensemble Information in Swarming Artificial Neural Networks.	ISNN (1)	2005	DBLP DOI BibTeX RDF
18	Jian Cheng 0001, Kongqiao Wang, Yen-Wei Chen 0001	A Cascaded Ensemble Learning for Independent Component Analysis.	ISNN (1)	2005	DBLP DOI BibTeX RDF
18	Rui Nian, Guangrong Ji, Wencang Zhao, Chen Feng	ANN Hybrid Ensemble Learning Strategy in 3D Object Recognition and Pose Estimation Based on Similarity.	ICIC (1)	2005	DBLP DOI BibTeX RDF
18	Lincong Wang, Bruce Randall Donald	An Efficient and Accurate Algorithm for Assigning Nuclear Overhauser Effect Restraints Using a Rotamer Library Ensemble and Residual Dipolar Couplings.	CSB	2005	DBLP DOI BibTeX RDF
18	Yang Gao 0001, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu	LCSE: Learning Classifier System Ensemble for Incremental Medical Instances.	IWLCS	2005	DBLP DOI BibTeX RDF
18	Peng Li, Kap Luk Chan, Shankar Muthu Krishnan	Learning a Multi-Size Patch-Based Hybrid Kernel Machine Ensemble for Abnormal Region Detection in Colonoscopic Images.	CVPR (2)	2005	DBLP DOI BibTeX RDF
18	Crina Grosan, Ajith Abraham	Ensemble of Genetic Programming Models for Designing Reactive Power Controllers.	HIS	2005	DBLP DOI BibTeX RDF
18	Giampaolo L. Libralao, Osvaldo C. P. Almeida, André Carlos Ponce de Leon Ferreira de Carvalho	Classification of Ophthalmologic Images Using an Ensemble of Classifiers.	IEA/AIE	2005	DBLP DOI BibTeX RDF	Ocular Refractive Errors, Hartmann-Shack Technique, Optometry, Machine Learning, Expert Systems, Classifiers Combination
18	Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak	Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines.	ICANN (2)	2005	DBLP DOI BibTeX RDF
18	Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori, Michèle Sebag	Ensemble Feature Ranking.	PKDD	2004	DBLP DOI BibTeX RDF
18	Zhenyu Wang, Xin Yao 0001, Yong Xu	An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses.	IDEAL	2004	DBLP DOI BibTeX RDF
18	Zhang-Quan Shen, Fan-Sheng Kong	Optimizing Weights by Genetic Algorithm for Neural Network Ensemble.	ISNN (1)	2004	DBLP DOI BibTeX RDF
18	Yue Liu, Yuan Wang, Yuan Li, Gengfeng Wu	Earthquake Prediction by RBF Neural Network Ensemble.	ISNN (2)	2004	DBLP DOI BibTeX RDF
18	Wu-Jun Li, Chong-Jun Wang, Dianxiang Xu, Shifu Chen	Illumination Invariant Face Recognition Based on Neural Network Ensemble.	ICTAI	2004	DBLP DOI BibTeX RDF
18	Taikang Ning	An ensemble average approach to remove adverse effects on power spectral estimation due to sampling jitters.	ISCAS (3)	2004	DBLP DOI BibTeX RDF
18	Zheng-Qun Wang, Shifu Chen, Zhaoqian Chen, Jun-Yuan Xie	A Parallel Learning Approach for Neural Network Ensemble.	Australian Conference on Artificial Intelligence	2004	DBLP DOI BibTeX RDF
18	Jeremy Z. Kolter, Marcus A. Maloof	Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift.	ICDM	2003	DBLP DOI BibTeX RDF
18	Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich	Comparing Pure Parallel Ensemble Creation Techniques Against Bagging.	ICDM	2003	DBLP DOI BibTeX RDF
18	John Yiannis Cotronis	Application Composition in Ensemble Using Intercommunicators and Process Topologies.	PVM/MPI	2003	DBLP DOI BibTeX RDF
18	Hiroshi Mamitsuka	Empirical Evaluation of Ensemble Feature Subset Selection Methods for Learning from a High-Dimensional Database in Drug Desig.	BIBE	2003	DBLP DOI BibTeX RDF
18	Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer	A New Ensemble Diversity Measure Applied to Thinning Ensembles.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF
18	Beitao Li, Kingshy Goh, Edward Y. Chang	Confidence-based dynamic ensemble for image annotation and semantics discovery.	ACM Multimedia	2003	DBLP DOI BibTeX RDF
18	Hisao Ishibuchi, Takashi Yamamoto	Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers.	GECCO	2003	DBLP DOI BibTeX RDF
18	Yongdai Kim	Averaged Boosting: A Noise-Robust Ensemble Method.	PAKDD	2003	DBLP DOI BibTeX RDF
18	Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano	Ensemble Techniques for Parallel Genetic Programming Based Classifiers.	EuroGP	2003	DBLP DOI BibTeX RDF
18	Miguel Angel Lozano, Francisco Escolano	EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching.	EMMCVPR	2003	DBLP DOI BibTeX RDF
18	Hyun-Chul Kim, Shaoning Pang, Hong-Mo Je, Daijin Kim 0001, Sung Yang Bang	Pattern Classification Using Support Vector Machine Ensemble.	ICPR (2)	2002	DBLP DOI BibTeX RDF
18	Pablo M. Granitto, Pablo F. Verdes, Hugo D. Navone, H. Alejandro Ceccatto	Aggregation Algorithms for Neural Network Ensemble Construction .	SBRN	2002	DBLP DOI BibTeX RDF
18	Gabriel H. Loh, Dana S. Henry	Applying Machine Learning for Ensemble Branch Predictors.	IEA/AIE	2002	DBLP DOI BibTeX RDF
18	Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik	A Mixed Ensemble Approach for the Semi-supervised Problem.	ICANN	2002	DBLP DOI BibTeX RDF
18	Pitoyo Hartono, Shuji Hashimoto	Learning-Data Selection Mechanism through Neural Networks Ensemble.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
18	Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk	Correlation-Based and Contextual Merit-Based Ensemble Feature Selection.	IDA	2001	DBLP DOI BibTeX RDF
18	Terry Windeatt, Gholamreza Ardeshir	An Empirical Comparison of Pruning Methods for Ensemble Classifiers.	IDA	2001	DBLP DOI BibTeX RDF
18	David Horn, Ury Naftaly, Nathan Intrator	Large Ensemble Averaging.	Neural Networks: Tricks of the Trade	1996	DBLP DOI BibTeX RDF
18	Douglas Adriano Augusto, Helio José Corrêa Barbosa, Nelson Francisco Favilla Ebecken	Coevolutionary multi-population genetic programming for data classification.	GECCO	2010	DBLP DOI BibTeX RDF	distributed genetic programming, coevolution, ensemble method, data classification
18	Petr Kadlec, Bogdan Gabrys	Architecture for development of adaptive on-line prediction models.	Memetic Comput.	2009	DBLP DOI BibTeX RDF	Adaptive systems, Industrial applications, Ensemble methods, Meta learning, Local learning, Life-long learning, Soft sensors
18	N. Karthikeyani Visalakshi, K. Thangavel	Distributed Data Clustering: A Comparative Analysis.	Foundations of Computational Intelligence (6)	2009	DBLP DOI BibTeX RDF	Rough K-Means, K-Means, Centroid, Cluster Ensemble, Distributed Clustering, Fuzzy K-Means
18	Furu Wei, Wenjie Li 0002, Wei Wang 0013, Yanxiang He	iRANK: an interactive ranking framework and its application in query-focused summarization.	CIKM	2009	DBLP DOI BibTeX RDF	interactive ranking, query-focused summarization, rank-learn-combine, sentence ranking, unsupervised ensemble ranking
18	Yasser El-Manzalawy, Vasant G. Honavar	MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio.	Discovery Science	2009	DBLP DOI BibTeX RDF	drug activity prediction, ensemble of multiple-instance learning classifiers, boosted multiple-instance learning, image retrieval, multiple-instance learning
18	Bárbara B. Pineda-Bautista, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad	Taking Advantage of Class-Specific Feature Selection.	IDEAL	2009	DBLP DOI BibTeX RDF	Class-specific feature selection, Feature selection, classifier ensemble, supervised classification
18	Peijun Du, Wei Zhang 0156, Hao Sun	Multiple Classifier Combination for Hyperspectral Remote Sensing Image Classification.	MCS	2009	DBLP DOI BibTeX RDF	hyperspectral remote sensing, boosting, bagging, classifier ensemble, evidence theory, Multiple classifier combination
18	Amir Ahmad, Gavin Brown 0001	A Study of Random Linear Oracle Ensembles.	MCS	2009	DBLP DOI BibTeX RDF	Clusters, Naive Bayes, Classifier Ensemble, Subclasses
18	Quan Gu, Yongsheng Ding	Binary particle swarm optimization based prediction of G-protein-coupled receptor families with feature selection.	GEC Summit	2009	DBLP DOI BibTeX RDF	feature selection, ensemble classifier, binary particle swarm optimization, G-protein-coupled receptors
18	Xinlong Bao, Lawrence Bergman, Rich Thompson	Stacking recommendation engines with additional meta-features.	RecSys	2009	DBLP DOI BibTeX RDF	content-based recommender, engine hybridization, meta-feature, machine learning, collaborative filtering, ensemble learning, stacking, stacked generalization, hybrid recommender systems
18	Kuo-Wei Hsu, Jaideep Srivastava	Diversity in Combinations of Heterogeneous Classifiers.	PAKDD	2009	DBLP DOI BibTeX RDF	heterogeneity, diversity, ensemble, Multi-Classifier System
18	Yexi Jiang, Changjie Tang, Kaikuo Xu, Lei Duan, Liang Tang, Jie Gong, Chuan Li 0002	Core-Tag Clustering for Web 2.0 Based on Multi-similarity Measurements.	APWeb/WAIM Workshops	2009	DBLP DOI BibTeX RDF	clustering, tag, folksonomy, skyline, clustering ensemble
18	Darcy A. Davis, Nitesh V. Chawla, Nicholas Blumm, Nicholas A. Christakis, Albert-László Barabási	Predicting individual disease risk based on medical history.	CIKM	2008	DBLP DOI BibTeX RDF	disease risk prediction, prospective health care, collaborative filtering, ensemble
18	Gregor Stiglic, Juan J. Rodríguez Diez, Peter Kokol	Feature Selection and Classification for Small Gene Sets.	PRIB	2008	DBLP DOI BibTeX RDF	machine learning, feature selection, ensemble of classifiers, Gene expression analysis
18	Shen-Shyang Ho, Ashit Talukder	Automated cyclone discovery and tracking using knowledge sharing in multiple heterogeneous satellite data.	KDD	2008	DBLP DOI BibTeX RDF	event detection and prediction, heterogeneous data mining, mining massive data stream, multi-sensor data fusion, real-time data mining, knowledge transfer, ensemble classifier, event tracking
18	Kaijian He, Chi Xie, Kin Keung Lai	Estimation of Value-at-Risk for Exchange Risk Via Kernel Based Nonlinear Ensembled Multi Scale Model.	ISNN (1)	2008	DBLP DOI BibTeX RDF	Nonlinear ensemble, Support vector regression, Wavelet analysis, Principle component analysis, Value at risk
18	Haibo He, Yuan Cao, Jinyu Wen, Shijie Cheng	A Boost Voting Strategy for Knowledge Integration and Decision Making.	ISNN (1)	2008	DBLP DOI BibTeX RDF	Voting strategy, Classification, Ensemble learning, Signal-to-noise ratio
18	Haitao He, Chunhui Che, FeiTeng Ma, Xiaonan Luo, Jianmin Wang 0013	Improve Flow Accuracy and Byte Accuracy in Network Traffic Classification.	ICIC (2)	2008	DBLP DOI BibTeX RDF	network traffic classification, byte accuracy, ensemble learning, cost-sensitive learning
18	Dong Li, Maoqiang Xie, Yang Wang 0017, Yalou Huang, Weijian Ni	Multiple Ranker Method in Document Retrieval.	ICIC (3)	2008	DBLP DOI BibTeX RDF	Learning to rank, ensemble learning, document retrieval
18	Ryszard Szupiluk, Piotr Wojewnik, Tomasz Zabkowski	Generalized Extreme Value for Smooth Component Analysis in Prediction Improvement.	KES (1)	2008	DBLP DOI BibTeX RDF	statistical decomposition, predictive modeling, ensemble methods
18	Jonathan D. Beezley, Soham Chakraborty 0002, Janice L. Coen, Craig C. Douglas, Jan Mandel, Anthony Vodacek, Zhen Wang	Real-Time Data Driven Wildland Fire Modeling.	ICCS (3)	2008	DBLP DOI BibTeX RDF	wildland fire modeling, ensemble Kalman filter, Weather Research and Forecasting model, WRF, image registration, remote sensing, morphing, level set methods, data assimilation, Dynamic data driven application systems
18	Wuying Liu, Ting Wang 0009	Active Learning for Online Spam Filtering.	AIRS	2008	DBLP DOI BibTeX RDF	Machine Learning, SVM, Active Learning, Ensemble Learning, Spam Filtering
18	Mete Ozay, Fatos Tünay Yarman Vural	On the Performance of Stacked Generalization Classifiers.	ICIAR	2008	DBLP DOI BibTeX RDF	pattern recognition, parallel computing, ensemble learning, Stacked generalization
18	Emilio Corchado, Bruno Baruque, Aitor Mata, Juan M. Corchado	A WeVoS-CBR Approach to Oil Spill Problem.	HAIS	2008	DBLP DOI BibTeX RDF	Ensemble summarization, Self Organizing Memory, RBF, Case-Based Reasoning, Topology Preserving Maps, Oil Spill
18	John A. Bullinaria	Using evolution to improve neural network learning: pitfalls and solutions.	Neural Comput. Appl.	2007	DBLP DOI BibTeX RDF	Age dependent plasticity, Neural networks, Evolutionary computation, Learning algorithms, Ensemble methods
18	Christa D. Peters-Lidard, Paul R. Houser, Yudong Tian, Sujay V. Kumar, James Geiger, S. Olden, L. Lighty, B. Doty, Paul A. Dirmeyer, J. Adams, K. Mitchell, Eric F. Wood, Justin Sheffield	High-performance Earth system modeling with NASA/GSFC's Land Information System.	Innov. Syst. Softw. Eng.	2007	DBLP DOI BibTeX RDF	Land surface modeling, Earth system modeling, Interoperability, Information systems, High-performance computing, Ensemble, Object-oriented frameworks, Weather, Climate
18	Feng Liu, Fengzhan Tian, QiLiang Zhu	Ensembling Bayesian network structure learning on limited data.	CIKM	2007	DBLP DOI BibTeX RDF	bayesian network, ensemble method, sampling method, fusion method
18	Jia Rong, Yi-Ping Phoebe Chen, Morshed U. Chowdhury, Gang Li 0009	Acoustic Features Extraction for Emotion Recognition.	ACIS-ICIS	2007	DBLP DOI BibTeX RDF	Twice Learning, Machine Learning, Feature Extraction, Decision Tree, Ensemble Learning, Random Forest
18	Hyunmin Kim, Katherina J. Kechris, Lawrence Hunter	Mining Discriminative Distance Context of Transcription Factor Binding Sites on ChIP Enriched Regions.	ISBRA	2007	DBLP DOI BibTeX RDF	ChIP-chip data analysis, ensemble learning, transcription factor
18	Hiromitsu Watanabe, Basabi Chakraborty, Goutam Chakraborty	Rough Neuro Voting System for Data Mining: Application to Stock Price Prediction.	RSKT	2007	DBLP DOI BibTeX RDF	Stock Price Prediction, Rough Neuro Voting System, Data Mining, Neural Network Ensemble
18	Guo-Zheng Li 0001, Hao-Hua Meng, Mary Qu Yang, Jack Y. Yang	Asymmetric Bagging and Feature Selection for Activities Prediction of Drug Molecules.	IMSCCS	2007	DBLP DOI BibTeX RDF	Feature Selection, Ensemble Learning, Bagging, QSAR, QSAR
18	Hong Liu 0001, Haodi Feng, Daming Zhu	Prediction of Protein Subcellular Locations by Combining K-Local Hyperplane Distance Nearest Neighbor.	ADMA	2007	DBLP DOI BibTeX RDF	Subcellular Location, Protein, Ensemble Classifier
18	Marco Grimaldi, Padraig Cunningham, Anil C. Kokaram	Discrete wavelet packet transform and ensembles of lazy and eager learners for music genre classification.	Multim. Syst.	2006	DBLP DOI BibTeX RDF	Lazy learners, Eager learners, Feature extraction, Features selection, Wavelet analysis, Music genre classification, Ensemble techniques
18	Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin, Qiang Yang 0001	Query enrichment for web-query classification.	ACM Trans. Inf. Syst.	2006	DBLP DOI BibTeX RDF	KDDCUP2005, query enrichment, synonym-based classifier, ensemble learning, Query classification
18	Pierre Geurts, Damien Ernst, Louis Wehenkel	Extremely randomized trees.	Mach. Learn.	2006	DBLP DOI BibTeX RDF	Decision and regression trees, Cut-point randomization, Bias/variance tradeoff, Kernel-based models, Supervised learning, Ensemble methods
18	José María Martínez-Otzeta, Basilio Sierra, Elena Lazkano, Ekaitz Jauregi	On a Unified Framework for Sampling With and Without Replacement in Decision Tree Ensembles.	AIMSA	2006	DBLP DOI BibTeX RDF	Decision Trees, Ensemble Methods
18	Zhi-Hua Zhou, Yang Yu 0001	Adapt Bagging to Nearest Neighbor Classifiers.	J. Comput. Sci. Technol.	2005	DBLP DOI BibTeX RDF	Minkowsky distance, value difference metric, data mining, machine learning, nearest neighbor, ensemble learning, bagging
18	Zeke S. H. Chan, Nikola K. Kasabov	A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD).	Neural Process. Lett.	2005	DBLP DOI BibTeX RDF	negative correlation, learning, parallel computing, ensemble learning
18	Alison L. Love, Alex Pang, David L. Kao	Visualizing Spatial Multivalue Data.	IEEE Computer Graphics and Applications	2005	DBLP DOI BibTeX RDF	ensemble forecast, parametric statistics, distributions, uncertainty, shape descriptors, realizations
18	Ian Davidson, Ashish Grover, Ashwin Satyanarayana, Giri Kumar Tayi	A general approach to incorporate data quality matrices into data mining algorithms.	KDD	2004	DBLP DOI BibTeX RDF	ensemble approaches, classification, decision trees, data quality, six-sigma
18	Kyungmi Lee, Vladimir Estivill-Castro	A Hybrid Classification Approach to Ultrasonic Shaft Signals.	Australian Conference on Artificial Intelligence	2004	DBLP DOI BibTeX RDF	Industrial applications of AI, Multimodel systems, Pattern analysis in signals, Machine learning, feature extraction, ensemble of classifiers
18	Karsten Hartelius, Jens Michael Carstensen	Bayesian Grid Matching.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	ensemble annealing, textile analysis, Markov random field, Deformable model, graph matching, high-throughput screening
18	Kelvin T. Leung, Douglas Stott Parker Jr.	Empirical comparisons of various voting methods in bagging.	KDD	2003	DBLP DOI BibTeX RDF	model reconciliation, voting, ensemble classification
18	Kai Yu 0001, Wei-Ying Ma, Volker Tresp, Zhao Xu 0001, Xiaofei He 0001, HongJiang Zhang, Hans-Peter Kriegel	Knowing a tree from the forest: art image retrieval using a society of profiles.	ACM Multimedia	2003	DBLP DOI BibTeX RDF	art image retrieval, collaborative ensemble learning
18	Simon Günter, Horst Bunke	Fast Feature Selection in an HMM-Based Multiple Classifier System for Handwriting Recognition.	DAGM-Symposium	2003	DBLP DOI BibTeX RDF	ensemble creation method, feature selection, hidden Markov model (HMM), handwritten word recognition