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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 2043 occurrences of 958 keywords
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Results
Found 20639 publication records. Showing 20639 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
103 | Zhenyu Lu, Xindong Wu 0001, Xingquan Zhu 0001, Josh C. Bongard |
Ensemble pruning via individual contribution ordering. |
KDD |
2010 |
DBLP DOI BibTeX RDF |
ensemble pruning, ensemble learning |
67 | Zhi-Hua Zhou, Yuan Jiang 0001 |
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 |
66 | Huanhuan Chen, Peter Tiño, Xin Yao 0001 |
Predictive Ensemble Pruning by Expectation Propagation. |
IEEE Trans. Knowl. Data Eng. |
2009 |
DBLP DOI BibTeX RDF |
|
60 | Shenglan Ben, Guangda Su, Youshou Wu |
A Two-Step Selective Region Ensemble for Facial Age Estimation. |
ICIC (2) |
2008 |
DBLP DOI BibTeX RDF |
region selection, age range, age estimation, selective ensemble, facial image |
60 | Yue Liu, Yafeng Yin, Zaixia Teng, Qi Wu, Guozheng Li 0001 |
Activities Prediction of Drug Molecules by Using the Optimal Ensemble Based on Uniform Design. |
ICIC (1) |
2008 |
DBLP DOI BibTeX RDF |
Uniform Design, Neural Network Ensemble, Drug Design |
60 | Yakov Frayman, Bernard F. Rolfe, Geoffrey I. Webb |
Solving Regression Problems Using Competitive Ensemble Models. |
Australian Joint Conference on Artificial Intelligence |
2002 |
DBLP DOI BibTeX RDF |
|
55 | Geoffrey I. Webb, Zijian Zheng |
Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques. |
IEEE Trans. Knowl. Data Eng. |
2004 |
DBLP DOI BibTeX RDF |
|
54 | Qiang-Li Zhao, Yan-Huang Jiang, Ming Xu 0002 |
A Fast Ensemble Pruning Algorithm Based on Pattern Mining Process. |
ECML/PKDD (1) |
2009 |
DBLP DOI BibTeX RDF |
PMEP (Pattern Mining based Ensemble Pruning), Bagging, FP-Tree, back-propagation neural network |
54 | 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 |
54 | 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 |
54 | Huanhuan Chen, Xin Yao 0001 |
Evolutionary Ensemble for In Silico Prediction of Ames Test Mutagenicity. |
ICIC (2) |
2007 |
DBLP DOI BibTeX RDF |
Ames Test Mutagenicity, In silico models, Evolutionary Ensemble, Negative Correlation Learning |
54 | Simon Günter, Horst Bunke |
Evaluation of Classical and Novel Ensemble Methods for Handwritten Word Recognition. |
SSPR/SPR |
2004 |
DBLP DOI BibTeX RDF |
hidden Markov model (HMM), ensemble methods, handwritten word recognition |
54 | Song Chun Zhu, Xiuwen Liu, Ying Nian Wu |
Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2000 |
DBLP DOI BibTeX RDF |
Gibbs ensemble, Julesz ensemble, texture synthesis, Markov chain Monte Carlo, texture modeling |
54 | Huanhuan Chen, Peter Tiño, Xin Yao 0001 |
A Probabilistic Ensemble Pruning Algorithm. |
ICDM Workshops |
2006 |
DBLP DOI BibTeX RDF |
|
54 | Vladimir M. Krasnopolsky |
Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches. |
IJCNN |
2006 |
DBLP DOI BibTeX RDF |
|
49 | Chun-Xia Zhang 0002, Jiang-She Zhang 0001 |
A novel method for constructing ensemble classifiers. |
Stat. Comput. |
2009 |
DBLP DOI BibTeX RDF |
Kappa-error diagram, Principal component analysis, Bootstrap, Adaboost, Bagging, Random forest, Ensemble classifier |
49 | Jiansheng Wu, Enhong Chen |
A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network. |
ISNN (3) |
2009 |
DBLP DOI BibTeX RDF |
Rainfall Forecasting, Particle Swarm Optimization, Neural Network Ensemble, Nonparametric Regression |
49 | Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez 0001 |
Statistical Instance-Based Ensemble Pruning for Multi-class Problems. |
ICANN (1) |
2009 |
DBLP DOI BibTeX RDF |
Instance based pruning, neural networks, ensemble learning |
49 | 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 |
49 | 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 (1) |
2008 |
DBLP DOI BibTeX RDF |
Ensemble systems, Feature distribution in Ensembles, Diversity |
49 | Genlin Ji, Xiaohan Ling |
Ensemble Learning Based Distributed Clustering. |
PAKDD Workshops |
2007 |
DBLP DOI BibTeX RDF |
data mining, ensemble learning, Distributed clustering |
49 | Shaohua Kevin Zhou, Rama Chellappa |
From Sample Similarity to Ensemble Similarity: Probabilistic Distance Measures in Reproducing Kernel Hilbert Space. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2006 |
DBLP DOI BibTeX RDF |
Ensemble similarity, Chernoff distance, Kullback-Leibler (KL) divergence/relative entropy, Patrick-Fisher distance, Mahalonobis distance, kernel methods, reproducing kernel Hilbert space, Bhattacharyya distance |
49 | Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano |
Improving cooperative GP ensemble with clustering and pruning for pattern classification. |
GECCO |
2006 |
DBLP DOI BibTeX RDF |
data mining, classification, genetic programming, ensemble |
49 | Haixun Wang, Wei Fan 0001, Philip S. Yu, Jiawei Han 0001 |
Mining concept-drifting data streams using ensemble classifiers. |
KDD |
2003 |
DBLP DOI BibTeX RDF |
data streams, classifier, concept drift, classifier ensemble |
49 | Min Jang, Sungzoon Cho |
Observational Learning Algorithm for an Ensemble of Neural Networks. |
Pattern Anal. Appl. |
2002 |
DBLP DOI BibTeX RDF |
Observational learning, Social learning theory, Virtual data, Neural network ensemble |
48 | Shiliang Sun |
An Improved Random Subspace Method and Its Application to EEG Signal Classification. |
MCS |
2007 |
DBLP DOI BibTeX RDF |
ensemble diversity, ensemble learning, random subspace, EEG signal classification |
48 | Tuve Löfström, Ulf Johansson, Henrik Boström |
Ensemble member selection using multi-objective optimization. |
CIDM |
2009 |
DBLP DOI BibTeX RDF |
|
48 | Hongbo Shi, Yali Lv |
An Ensemble Classifier Based on Attribute Selection and Diversity Measure. |
FSKD (2) |
2008 |
DBLP DOI BibTeX RDF |
|
48 | Bingjie Liu, Changhua Hu |
Integrated Neural Network Ensemble Algorithm Based on Clustering Technology. |
ICONIP (1) |
2006 |
DBLP DOI BibTeX RDF |
|
48 | Gang Li 0009, Honghua Dai 0001 |
Study of Ensemble Strategies in Discovering Linear Causal Models. |
FSKD (2) |
2005 |
DBLP DOI BibTeX RDF |
|
48 | Qian Wu, Carey L. Williamson |
Improving Ensemble-TCP Performance on Asymmetric Networks. |
MASCOTS |
2001 |
DBLP DOI BibTeX RDF |
|
48 | Pitoyo Hartono, Shuji Hashimoto |
Effective Learning in Noisy Environment Using Neural Network Ensemble. |
IJCNN (2) |
2000 |
DBLP DOI BibTeX RDF |
|
48 | Yi Ding 0007, Xufu Peng, Xian Fu |
The Research of Negative Correlation Learning Based on Artificial Neural Network. |
ISNN (1) |
2009 |
DBLP DOI BibTeX RDF |
Artificial neural networks, Neural Network Ensemble, Negative Correlation Learning |
48 | Constantinos Evangelinos, Pierre F. J. Lermusiaux, Jinshan Xu, Patrick J. Haley, Chris N. Hill |
Many task computing for multidisciplinary ocean sciences: real-time uncertainty prediction and data assimilation. |
SC-MTAGS |
2009 |
DBLP DOI BibTeX RDF |
ensemble, data-intensive, assimilation, MTC |
48 | 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 |
48 | M. A. El-Gamal, M. D. A. Mohamed |
Ensembles of Neural Networks for Fault Diagnosis in Analog Circuits. |
J. Electron. Test. |
2007 |
DBLP DOI BibTeX RDF |
fault simulation, boosting, ensemble learning, analog circuits, bagging, fault classification |
48 | Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana |
Beam Search Extraction and Forgetting Strategies on Shared Ensembles. |
Multiple Classifier Systems |
2003 |
DBLP DOI BibTeX RDF |
Randomisation, Decision Trees, Ensemble Methods, Search Space, Beam Search |
48 | Yong Liu 0012 |
Balanced Learning for Ensembles with Small Neural Networks. |
ISICA |
2009 |
DBLP DOI BibTeX RDF |
|
48 | Huanhuan Chen, Xin Yao 0001 |
Evolutionary random neural ensembles based on negative correlation learning. |
IEEE Congress on Evolutionary Computation |
2007 |
DBLP DOI BibTeX RDF |
|
43 | Yong Yang 0003, Guoyin Wang 0001, Kun He 0013 |
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 |
43 | Xin Geng 0001, 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 |
43 | Francesco Nocera, Antonio Bucchiarone, Marina Mongiello, Rafael Capilla, Maurizio Leotta, Zoltán Ádám Mann, Pooyan Jamshidi, Antonio Brogi (eds.) |
Proceedings of the 2nd ACM SIGSOFT International Workshop on Ensemble-Based Software Engineering for Modern Computing Platforms, EnSEmble@ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 26, 2019. |
EnSEmble@ESEC/SIGSOFT FSE |
2019 |
DBLP DOI BibTeX RDF |
|
43 | Paolo Buono, Fabrizio Balducci, Fabio Cassano, Antonio Piccinno |
EnergyAware: a non-intrusive load monitoring system to improve the domestic energy consumption awareness. |
EnSEmble@ESEC/SIGSOFT FSE |
2019 |
DBLP DOI BibTeX RDF |
|
43 | J. David Patón-Romero, Maria Teresa Baldassarre, Moisés Rodríguez, Mario Piattini |
Assessing the greenability of ensembles. |
EnSEmble@ESEC/SIGSOFT FSE |
2019 |
DBLP DOI BibTeX RDF |
|
43 | Marina Ribaudo, Andrea Valenza |
Semi-automatic generation of cybersecurity exercises: a preliminary proposal. |
EnSEmble@ESEC/SIGSOFT FSE |
2019 |
DBLP DOI BibTeX RDF |
|
43 | Antonio Bucchiarone, Marina Mongiello, Francesco Nocera, Michael Sheng 0001 (eds.) |
Proceedings of the 1st ACM SIGSOFT International Workshop on Ensemble-Based Software Engineering, EnSEmble@ESEC/SIGSOFT FSE 2018, Lake Buena Vista, FL, USA, November 4, 2018 |
EnSEmble@ESEC/SIGSOFT FSE |
2018 |
DBLP DOI BibTeX RDF |
|
43 | Claudio De Meo, Nicola Siena, Luca Riccardi, Francesco Nocera, Angelo Parchitelli, Marina Mongiello, Eugenio Di Sciascio, Niko Mäkitalo |
LiquiDADE: a liquid-based distributed agile and adaptive development environment (DADE) multi-device tool. |
EnSEmble@ESEC/SIGSOFT FSE |
2018 |
DBLP DOI BibTeX RDF |
|
43 | Maria Teresa Baldassarre, Ismael Caballero 0001, Danilo Caivano, Bibiano Rivas Garcia, Mario Piattini |
From big data to smart data: a data quality perspective. |
EnSEmble@ESEC/SIGSOFT FSE |
2018 |
DBLP DOI BibTeX RDF |
|
43 | Maria Teresa Baldassarre, Danilo Caivano, Diego Serrano, Eleni Stroulia |
"Smart Traffic": an IoT traffic monitoring system based on open source technologies on the cloud. |
EnSEmble@ESEC/SIGSOFT FSE |
2018 |
DBLP DOI BibTeX RDF |
|
43 | Diego Clerissi, Maurizio Leotta, Gianna Reggio, Filippo Ricca |
Towards an approach for developing and testing Node-RED IoT systems. |
EnSEmble@ESEC/SIGSOFT FSE |
2018 |
DBLP DOI BibTeX RDF |
|
43 | Georg Krempl, Vera Hofer |
Partitioner Trees for Classification: A New Ensemble Method. |
Applications of Supervised and Unsupervised Ensemble Methods |
2009 |
DBLP DOI BibTeX RDF |
|
43 | 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 |
|
43 | Grigorios Tsoumakas, Ioannis Partalas, Ioannis P. Vlahavas |
An Ensemble Pruning Primer. |
Applications of Supervised and Unsupervised Ensemble Methods |
2009 |
DBLP DOI BibTeX RDF |
|
43 | 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 |
43 | Wei Qu, Yang Zhang 0010, 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 |
43 | Lei Wang, Yong Yang |
Selective Ensemble Algorithms of Support Vector Machines Based on Constraint Projection. |
ISNN (2) |
2009 |
DBLP DOI BibTeX RDF |
Constraint projection, Support vector machines, Selective ensemble |
43 | Xuesong Wang 0001, Yangyang Gu, Yuhu Cheng, Ruhai Lei |
An Ensemble Classifier Based on Kernel Method for Multi-situation DNA Microarray Data. |
ICIC (1) |
2009 |
DBLP DOI BibTeX RDF |
Multi-situation, DNA microarray data, Kernel method, Classifier, Ensemble learning |
43 | Bo Ning 0003, Xianbin Cao 0001, Yanwu Xu 0001, 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 |
43 | 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 |
43 | 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 |
43 | Marcin Korytkowski, Robert Nowicki, Rafal Scherer |
Neuro-fuzzy Rough Classifier Ensemble. |
ICANN (1) |
2009 |
DBLP DOI BibTeX RDF |
rough sets, classifier ensemble, Neuro-fuzzy |
43 | Jinlong Wang, Ke Gao, Yang Jiao, Gang Li 0009 |
Study on Ensemble Classification Methods towards Spam Filtering. |
ADMA |
2009 |
DBLP DOI BibTeX RDF |
spam email filtering, classification, ensemble |
43 | 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 |
43 | 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 |
43 | 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 |
43 | Hiromi Miyajima, Noritaka Shigei, Shinya Fukumoto, Toshiaki Miike |
Parallel Fuzzy Reasoning Models with Ensemble Learning. |
ISNN (1) |
2008 |
DBLP DOI BibTeX RDF |
Fuzzy reasoning model, AdaBoost, Ensemble learning, Parallel model |
43 | 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 |
43 | 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 |
43 | Christian Gagné 0001, Michèle Sebag, Marc Schoenauer, Marco Tomassini |
Ensemble learning for free with evolutionary algorithms? |
GECCO |
2007 |
DBLP DOI BibTeX RDF |
evolutionary computation, ensemble learning |
43 | Danico Lee, Costas Tsatsoulis |
Intelligent data entry assistant for XML using ensemble learning. |
IUI |
2005 |
DBLP DOI BibTeX RDF |
autofill, XML, machine learning, ensemble learning |
43 | Yongdai Kim, Jinseog Kim |
Convex Hull Ensemble Machine for Regression and Classification. |
Knowl. Inf. Syst. |
2004 |
DBLP DOI BibTeX RDF |
Classification, Regression, Boosting, Ensemble, Bagging |
43 | Yi Peng 0001, Gang Kou, Zhengxin Chen, Yong Shi 0001 |
Cross-Validation and Ensemble Analyses on Multiple-Criteria Linear Programming Classification for Credit Cardholder Behavior. |
International Conference on Computational Science |
2004 |
DBLP DOI BibTeX RDF |
Credit Card Portfolio Management, Multi-criteria Linear Programming, Cross-Validation and Ensemble, Data Mining, Classification |
43 | Cristina Tarantino, Annarita D'Addabbo, L. Castellana, Palma Blonda, Guido Pasquariello, Nicola Ancona, Giuseppe Satalino |
Neural Network Ensemble and Support Vector Machine Classifiers: An Application to Remote Sensed Data. |
WILF |
2003 |
DBLP DOI BibTeX RDF |
SVM, Neural Network Ensemble, Fuzzy Integral, remote sensed data |
43 | César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana |
From Ensemble Methods to Comprehensible Models. |
Discovery Science |
2002 |
DBLP DOI BibTeX RDF |
Comprehensibility in Machine Learning, Classifier Similarity, Randomisation, Decision Trees, Ensemble Methods |
42 | Timothy Pritchett, Mithuna Thottethodi |
SieveStore: a highly-selective, ensemble-level disk cache for cost-performance. |
ISCA |
2010 |
DBLP DOI BibTeX RDF |
selective allocation, storage ensembles, flash memory, storage, solid state disks, disk cache |
42 | Gyeongyong Heo, Paul D. Gader |
Prior-updating ensemble learning for discrete HMM. |
ICPR |
2008 |
DBLP DOI BibTeX RDF |
|
42 | In Sung Kim, Bruno Otávio Soares Teixeira, Dennis S. Bernstein |
Ensemble-on-demand Kalman filter for large-scale systems with time-sparse measurements. |
CDC |
2008 |
DBLP DOI BibTeX RDF |
|
42 | Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano |
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams. |
ICTAI (2) |
2007 |
DBLP DOI BibTeX RDF |
|
42 | Hussein A. Abbass |
Pareto-Optimal Approaches to Neuro-Ensemble Learning. |
Multi-Objective Machine Learning |
2006 |
DBLP DOI BibTeX RDF |
|
42 | Rich Caruana, Art Munson, Alexandru Niculescu-Mizil |
Getting the Most Out of Ensemble Selection. |
ICDM |
2006 |
DBLP DOI BibTeX RDF |
|
42 | Hsuan-Tien Lin, Ling Li |
Infinite Ensemble Learning with Support Vector Machines. |
ECML |
2005 |
DBLP DOI BibTeX RDF |
|
42 | Suyu Mei, Yue Liu, Gengfeng Wu, Bofeng Zhang |
Rough reducts based SVM ensemble. |
GrC |
2005 |
DBLP DOI BibTeX RDF |
|
42 | Chanho Park, Sung-Bae Cho |
Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification. |
ISMIS |
2003 |
DBLP DOI BibTeX RDF |
|
42 | Zhi-Hua Zhou, Wei Tang |
Selective Ensemble of Decision Trees. |
RSFDGrC |
2003 |
DBLP DOI BibTeX RDF |
|
42 | Chi-Hoon Lee |
Learning to combine discriminative classifiers: confidence based. |
KDD |
2010 |
DBLP DOI BibTeX RDF |
classification, logistic regression, ensemble learning |
42 | Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang 0001 |
Particle swarm optimization based multi-prototype ensembles. |
GECCO |
2009 |
DBLP DOI BibTeX RDF |
classification, particle swarm optimization, ensemble |
42 | Marek Bundzel, Peter Sincak |
Ensembling Classifiers Using Unsupervised Learning. |
ICAISC |
2008 |
DBLP DOI BibTeX RDF |
Parallel, Ensemble, Structural Adaptation |
42 | Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano |
StreamGP: tracking evolving GP ensembles in distributed data streams using fractal dimension. |
GECCO |
2007 |
DBLP DOI BibTeX RDF |
distributed streaming data, data mining, classification, genetic programming, ensemble |
42 | Mihir Sewak, Priyanka Vaidya, Chien-Chung Chan |
SVM Approach to Breast Cancer Classification. |
IMSCCS |
2007 |
DBLP DOI BibTeX RDF |
Machine Learning, Support Vector Machines, Classifiers, Ensemble, Breast Cancer |
42 | Simon Günter, Horst Bunke |
Ensembles of Classifiers for Handwritten Word Recognition Specialized on Individual Handwriting Style. |
Document Analysis Systems |
2004 |
DBLP DOI BibTeX RDF |
hidden Markov model (HMM), ensemble method, handwritten word recognition, writing style |
42 | Ludmila I. Kuncheva, Juan José Rodríguez |
Classifier Ensembles with a Random Linear Oracle. |
IEEE Trans. Knowl. Data Eng. |
2007 |
DBLP DOI BibTeX RDF |
fusion and selection, random hyperplane, multivariate (oblique) decision trees, Classifier ensembles |
42 | 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 |
|
42 | Padraig Cunningham, John Carney |
Diversity versus Quality in Classification Ensembles Based on Feature Selection. |
ECML |
2000 |
DBLP DOI BibTeX RDF |
|
37 | Yuan Jiang 0001, Zhi-Hua Zhou |
SOM Ensemble-Based Image Segmentation. |
Neural Process. Lett. |
2004 |
DBLP DOI BibTeX RDF |
neural networks, image segmentation, SOM, unsupervised learning, ensemble learning, neural network ensemble |
37 | 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 |
37 | Paulo Fernandes 0001, 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 |
37 | Yanfang Ye 0001, Tao Li 0001, Yong Chen, Qingshan Jiang |
Automatic malware categorization using cluster ensemble. |
KDD |
2010 |
DBLP DOI BibTeX RDF |
malware categorization, signature, cluster ensemble |
37 | Ruochen Liu, Wei Zhang 0009, Licheng Jiao, Fang Liu 0001 |
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 |
37 | 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 |
37 | Jianjun Liu, Shengping Xia, Weidong Hu, Wenxian Yu |
Weights Updated Voting for Ensemble of Neural Networks Based Incremental Learning. |
ISNN (1) |
2009 |
DBLP DOI BibTeX RDF |
Neural networks, Machine learning, Incremental learning, Neural network ensemble |
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