Search results for "ensembles"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
25	Héctor Allende-Cid, Rodrigo Salas 0001, Héctor Allende, Ricardo Ñanculef	Robust Alternating AdaBoost.	CIARP	2007	DBLP DOI BibTeX RDF	Machine ensembles, Robust Learning Algorithms, AdaBoost
25	Mark W. Newman, Trevor F. Smith, Bill N. Schilit	Recipes for Digital Living.	Computer	2006	DBLP DOI BibTeX RDF	Device ensembles, Interoperability issues, Invisible computing
25	Seth Copen Goldstein, Jason Campbell, Todd C. Mowry	Programmable Matter.	Computer	2005	DBLP DOI BibTeX RDF	Claytronics project, catoms, microrobot ensembles, nanotechnology, invisible computing
25	Miguel Rocha 0001, Paulo Cortez 0001, José Neves 0001	Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression.	IWANN	2005	DBLP DOI BibTeX RDF	Evolutionary Algorithms, Supervised Learning, Multilayer Perceptrons, Ensembles
25	Esther Scheurmann, Chris Matthews	Neural Network Classifers in Arrears Management.	ICANN (2)	2005	DBLP DOI BibTeX RDF	minority over-sampling, majority under-sampling, loan default, arrears management, neural network ensembles
25	Saso Dzeroski, Bernard Zenko	Is Combining Classifiers with Stacking Better than Selecting the Best One?	Mach. Learn.	2004	DBLP DOI BibTeX RDF	multi-response model trees, stacking, meta-learning, combining classifiers, ensembles of classifiers
25	Fang Chu, Carlo Zaniolo	Fast and Light Boosting for Adaptive Mining of Data Streams.	PAKDD	2004	DBLP DOI BibTeX RDF	adaptive boosting ensembles, change detection, Stream data mining
25	Aleksandar Lazarevic, Zoran Obradovic	The distributed boosting algorithm.	KDD	2001	DBLP DOI BibTeX RDF	Boosting, classifier ensembles, distributed learning
25	Haleh Vafaie, Dean Abbott, Mark Hutchins, I. Philip Matkovsky	Combining models across algorithms and samples for improved results.	ICTAI	2000	DBLP DOI BibTeX RDF	model ensembles, training sample data, pattern recognition, neural nets, sensitivity, learned models, predictive performance, false alarm rates, voting scheme
20	Mathieu Pont	Analysis of Ensembles of Topological Descriptors. (Analyse d'Ensembles de Descripteurs Topologiques).		2023	RDF
20	Igor Ibarguren, Jesús M. Pérez, Javier Muguerza, Olatz Arbelaitz, Ainhoa Yera	PCTBagging: From inner ensembles to ensembles. A trade-off between discriminating capacity and interpretability.	Inf. Sci.	2022	DBLP DOI BibTeX RDF
20	Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Correction to: Building heterogeneous ensembles by pooling homogeneous ensembles.	Int. J. Mach. Learn. Cybern.	2022	DBLP DOI BibTeX RDF
20	Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Building heterogeneous ensembles by pooling homogeneous ensembles.	Int. J. Mach. Learn. Cybern.	2022	DBLP DOI BibTeX RDF
20	Nooriyan Poonawala-Lohani, Patricia Riddle, Mehnaz Adnan, Jörg Wicker	Geographic ensembles of observations using randomised ensembles of autoregression chains: ensemble methods for spatio-temporal time series forecasting of influenza-like illness.	BCB	2022	DBLP DOI BibTeX RDF
20	Pierrick Pochelu	Ensembles of Deep Neural Networks distributed and parallel for the energy industry. (Ensembles de réseaux de neurones répartis et parallèles appliqués au domaine de l'énergie).		2022	RDF
20	Tatiana Makhalova	Contributions to pattern set mining: from complex datasets to significant and useful pattern sets. (Contributions à la fouille d'ensembles de motifs: des données complexes à des ensembles de motifs signifiants et réutilisables).		2021	RDF
20	Michael G. Bowler	Ensembles of Atoms, Ensembles of Species: Comparative Statistical Mechanics.	Entropy	2020	DBLP DOI BibTeX RDF
20	Johannes Pfeffer	App-Orchestrierung als Methode zur formalen Modellierung von App-Ensembles für industrielle Geschäftsprozesse = App-orchestration as a method for formal modelling of app-ensembles for industrial business processes.		2020	RDF
20	Maryam Sabzevari, Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Pooling homogeneous ensembles to build heterogeneous ensembles.	CoRR	2018	DBLP BibTeX RDF
20	André Naz	Distributed algorithms for large-scale robotic ensembles : centrality, synchronization and self-reconfiguration. (Algorithmique distribuée pour grands ensembles de robots : centralité, synchronisation et auto-reconfiguration).		2017	RDF
20	Andrés Hoyos Idrobo	Ensembles of models in fMRI : stable learning in large-scale settings. (Ensembles des modeles en fMRI : l'apprentissage stable à grande échelle).		2017	RDF
20	Parneeta Sidhu, M. P. S. Bhatia 0001	An online ensembles approach for handling concept drift in data streams: diversified online ensembles detection.	Int. J. Mach. Learn. Cybern.	2015	DBLP DOI BibTeX RDF
20	Amir Ahmad, Gavin Brown 0001	Random Projection Random Discretization Ensembles - Ensembles of Linear Multivariate Decision Trees.	IEEE Trans. Knowl. Data Eng.	2014	DBLP DOI BibTeX RDF
20	Shelly Knotts, Nick Collins	The Politics of Laptop Ensembles: A Survey of 160 Laptop Ensembles and their Organisational Structures.	NIME	2014	DBLP DOI BibTeX RDF
20	Arda Halu, Satyam Mukherjee, Ginestra Bianconi	Emergence of overlap in ensembles of spatial multiplexes and statistical mechanics of spatial interacting networks ensembles.	CoRR	2013	DBLP BibTeX RDF
20	Mokhairi Makhtar	Contributions to ensembles of models for predictive toxicology applications : on the representation, comparison and combination of models in ensembles.		2012	RDF
20	Pierre Lescanne	Équivalence Entre la Famille des Ensembles Réguliers et la Famille des Ensembles Algébriques.	RAIRO Theor. Informatics Appl.	1976	DBLP DOI BibTeX RDF
18	Nicholas Holden, Alex Alves Freitas	Hierarchical classification of protein function with ensembles of rules and particle swarm optimisation.	Soft Comput.	2009	DBLP DOI BibTeX RDF	Hierarchical classification, Particle swarm optimisation, Protein function prediction
18	Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Statistical Instance-Based Pruning in Ensembles of Independent Classifiers.	IEEE Trans. Pattern Anal. Mach. Intell.	2009	DBLP DOI BibTeX RDF
18	Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb	FaSS: Ensembles for Stable Learners.	MCS	2009	DBLP DOI BibTeX RDF	stable learners, Local models
18	Raymond S. Smith, Terry Windeatt	The Bias Variance Trade-Off in Bootstrapped Error Correcting Output Code Ensembles.	MCS	2009	DBLP DOI BibTeX RDF
18	Kai Lienemann, Thomas Plötz, Gernot A. Fink	Stacking for Ensembles of Local Experts in Metabonomic Applications.	MCS	2009	DBLP DOI BibTeX RDF
18	Amir Ahmad, Gavin Brown 0001	Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data.	MCS	2009	DBLP DOI BibTeX RDF	Random Ordinality, Binary splits, Multi-way splits, Decision trees, Data fragmentation
18	Andrés Cano, Andrés R. Masegosa, Serafín Moral	A Bayesian Random Split to Build Ensembles of Classification Trees.	ECSQARU	2009	DBLP DOI BibTeX RDF
18	Shiliang Sun	Ensembles of Feature Subspaces for Object Detection.	ISNN (2)	2009	DBLP DOI BibTeX RDF	Machine learning, Face detection, Object detection, Pedestrian detection, Random subspace
18	Debrup Chakraborty	Neural Network Ensembles from Training Set Expansions.	CIARP	2009	DBLP DOI BibTeX RDF
18	Tadeusz Lasota, Zbigniew Telec, Bogdan Trawinski, Krzysztof Trawinski	A Multi-agent System to Assist with Real Estate Appraisals Using Bagging Ensembles.	ICCCI	2009	DBLP DOI BibTeX RDF
18	Harris Papadopoulos, Haris Haralambous	Predicting the Occupancy of the HF Amateur Service with Neural Network Ensembles.	ICANN (2)	2009	DBLP DOI BibTeX RDF
18	Bill Howe, Harrison Green-Fishback, David Maier 0001	Scientific Mashups: Runtime-Configurable Data Product Ensembles.	SSDBM	2009	DBLP DOI BibTeX RDF
18	Ahmed Abbasi, Hsinchun Chen, S. Thoms, Tianjun Fu	Affect Analysis of Web Forums and Blogs Using Correlation Ensembles.	IEEE Trans. Knowl. Data Eng.	2008	DBLP DOI BibTeX RDF
18	S. Charles Brubaker, Jianxin Wu 0001, Jie Sun 0004, Matthew D. Mullin, James M. Rehg	On the Design of Cascades of Boosted Ensembles for Face Detection.	Int. J. Comput. Vis.	2008	DBLP DOI BibTeX RDF	Face detection, Boosting, Cascade classifier
18	Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal	A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles.	IEEE Trans. Neural Networks	2008	DBLP DOI BibTeX RDF
18	Andrzej Burda, Barbara Kuczmowska, Zdzislaw S. Hippe	Ensembles of Artificial Neural Networks for Predicting Economic Situation of Small and Medium Enterprises.	Computer Recognition Systems 2	2008	DBLP DOI BibTeX RDF
18	Rahul Jain 0001, Ashwin Nayak 0001, Yi Su	A Separation between Divergence and Holevo Information for Ensembles.	TAMC	2008	DBLP DOI BibTeX RDF
18	Bruno Baruque, Emilio Corchado, Jordi Rovira, Javier González 0007	Application of Topology Preserving Ensembles for Sensory Assessment in the Food Industry.	IDEAL	2008	DBLP DOI BibTeX RDF
18	Peng Gao, Trent McConaghy, Georges G. E. Gielen	ISCLEs: Importance Sampled Circuit Learning Ensembles for Trustworthy Analog Circuit Topology Synthesis.	ICES	2008	DBLP DOI BibTeX RDF
18	Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski	Using neural network emulations of model physics in numerical model ensembles.	IJCNN	2008	DBLP DOI BibTeX RDF
18	Oleg Okun, Giorgio Valentini	Dataset complexity can help to generate accurate ensembles of k-nearest neighbors.	IJCNN	2008	DBLP DOI BibTeX RDF
18	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
18	Shay Freundlich, David Burshtein, Simon Litsyn	Approximately Lower Triangular Ensembles of LDPC Codes With Linear Encoding Complexity.	IEEE Trans. Inf. Theory	2007	DBLP DOI BibTeX RDF
18	Olgica Milenkovic, Emina Soljanin, Philip Whiting	Asymptotic Spectra of Trapping Sets in Regular and Irregular LDPC Code Ensembles.	IEEE Trans. Inf. Theory	2007	DBLP DOI BibTeX RDF
18	Enrico Rossoni, Jianfeng Feng	Decoding spike train ensembles: tracking a moving stimulus.	Biol. Cybern.	2007	DBLP DOI BibTeX RDF
18	Benjamin D. Rister, Jason Campbell, Padmanabhan Pillai, Todd C. Mowry	Integrated Debugging of Large Modular Robot Ensembles.	ICRA	2007	DBLP DOI BibTeX RDF
18	Michael P. Ashley-Rollman, Seth Copen Goldstein, Peter Lee 0001, Todd C. Mowry, Padmanabhan Pillai	Meld: A declarative approach to programming ensembles.	IROS	2007	DBLP DOI BibTeX RDF
18	Huanhuan Chen, Xin Yao 0001	Evolutionary random neural ensembles based on negative correlation learning.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
18	Javad Azimi, Monireh Abdoos, Morteza Analoui	A New Efficient Approach in Clustering Ensembles.	IDEAL	2007	DBLP DOI BibTeX RDF	intelligent k-means and initial points, feature space, Clustering ensemble
18	Nitesh V. Chawla, Jared Sylvester	Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets.	MCS	2007	DBLP DOI BibTeX RDF
18	Hugo Silva 0001, Ana L. N. Fred	Feature Subspace Ensembles: A Parallel Classifier Combination Scheme Using Feature Selection.	MCS	2007	DBLP DOI BibTeX RDF
18	Mofakharul Islam, John Yearwood, Peter Vamplew 0001	Unsupervised Color Textured Image Segmentation Using Cluster Ensembles and MRF Model.	SCSS (1)	2007	DBLP DOI BibTeX RDF
18	Anan Marie, Avigdor Gal	Managing Uncertainty in Schema Matcher Ensembles.	SUM	2007	DBLP DOI BibTeX RDF
18	Jörg D. Wichard, Henning Cammann, Carsten Stephan, Thomas Tolxdorff	Early Detection of Prostate Cancer with Classifier Ensembles.	FBIT	2007	DBLP DOI BibTeX RDF
18	Pance Panov, Saso Dzeroski	Combining Bagging and Random Subspaces to Create Better Ensembles.	IDA	2007	DBLP DOI BibTeX RDF
18	Moshe Looks, Ben Goertzel, Lúcio de Souza Coelho, Mauricio Mudado, Cassio Pennachin	Clustering gene expression data via mining ensembles of classification rules evolved using moses.	GECCO	2007	DBLP DOI BibTeX RDF	optimization, heuristics, empirical study, representations
18	Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff	A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation.	GECCO	2007	DBLP DOI BibTeX RDF	evolutionary algorithm using approximation, surrogate-asssisted memetic algorithm
18	Edith Elkind, Blaise Genest, Doron A. Peled	Detecting Races in Ensembles of Message Sequence Charts.	TACAS	2007	DBLP DOI BibTeX RDF
18	Aloísio Carlos de Pina, Gerson Zaverucha	Applying REC Analysis to Ensembles of Particle Filters.	IJCNN	2007	DBLP DOI BibTeX RDF
18	Jörg D. Wichard	Agnostic Learning with Ensembles of Classifiers.	IJCNN	2007	DBLP DOI BibTeX RDF
18	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks.	ICANN (1)	2007	DBLP DOI BibTeX RDF
18	Michael Mayo	Random Convolution Ensembles.	PCM	2007	DBLP DOI BibTeX RDF	Random Convolution, Image Classification, Pedestrian Detection
18	V. Rathi	On the Asymptotic Weight and Stopping Set Distribution of Regular LDPC Ensembles.	IEEE Trans. Inf. Theory	2006	DBLP DOI BibTeX RDF
18	Luiz S. Oliveira, Marisa E. Morita, Robert Sabourin	Feature selection for ensembles applied to handwriting recognition.	Int. J. Document Anal. Recognit.	2006	DBLP DOI BibTeX RDF	Genetic algorithms, Feature selection, Multi-objective optimization, Handwriting recognition, Ensemble of classifiers
18	Luiz S. Oliveira, Marisa E. Morita, Robert Sabourin	Feature Selection for Ensembles Using the Multi-Objective Optimization Approach.	Multi-Objective Machine Learning	2006	DBLP DOI BibTeX RDF
18	S. Charles Brubaker, Jianxin Wu 0001, Jie Sun 0004, Matthew D. Mullin, James M. Rehg	Towards the Optimal Training of Cascades of Boosted Ensembles.	Toward Category-Level Object Recognition	2006	DBLP DOI BibTeX RDF
18	Hsuan-Tien Lin, Ling Li	Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice.	ALT	2006	DBLP DOI BibTeX RDF
18	Emilio Corchado, Bruno Baruque, Bogdan Gabrys	Maximum Likelihood Topology Preserving Ensembles.	IDEAL	2006	DBLP DOI BibTeX RDF
18	Stavroula G. Mougiakakou, Ioannis K. Valavanis, Alexandra Nikita, Konstantina S. Nikita	Computer Aided Diagnosis of CT Focal Liver Lesions based on Texture Features, Feature Selection and Ensembles of Classifiers.	AIAI	2006	DBLP DOI BibTeX RDF
18	Wencang Zhao, Wei Wang, Jin Li	Ocean Red Tide Recognizing Method Based Neural Network Ensembles.	ICICIC (2)	2006	DBLP DOI BibTeX RDF
18	Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Mariusz Pawlowski	Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods.	DaWaK	2006	DBLP DOI BibTeX RDF
18	Yong Rao, Padmavathi Mundur, Yelena Yesha	Fuzzy SVM Ensembles for Relevance Feedback in Image Retrieval.	CIVR	2006	DBLP DOI BibTeX RDF
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	Alixandre Santana, Rodrigo G. F. Soares, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto	A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity.	SBRN	2006	DBLP DOI BibTeX RDF
18	Dingding Chen, John Quirein, Harry Smith, Syed Hamid, Jeff Grable, S. Reed	Variable Input Neural Network Ensembles in Generating Synthetic Well Logs.	IJCNN	2006	DBLP DOI BibTeX RDF
18	Vicenç Gómez, Andreas Kaltenbrunner, Vicente López 0002	Event modeling of message interchange in stochastic neural ensembles.	IJCNN	2006	DBLP DOI BibTeX RDF
18	Michael Wurst, Katharina Morik, Ingo Mierswa	Localized Alternative Cluster Ensembles for Collaborative Structuring.	ECML	2006	DBLP DOI BibTeX RDF
18	Ivor W. Tsang, András Kocsor, James T. Kwok	Diversified SVM Ensembles for Large Data Sets.	ECML	2006	DBLP DOI BibTeX RDF
18	Fei Tony Liu, Kai Ming Ting	Variable Randomness in Decision Tree Ensembles.	PAKDD	2006	DBLP DOI BibTeX RDF
18	Anant Madabhushi, Jianbo Shi, Michael D. Feldman, Mark Rosen, John Tomaszewski	Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI.	CVAMIA	2006	DBLP DOI BibTeX RDF
18	Aloísio Carlos de Pina, Gerson Zaverucha	Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters.	ICANN (2)	2006	DBLP DOI BibTeX RDF
18	Tianming Hu, Liping Liu, Chao Qu, Sam Yuan Sung	Joint Cluster Based Co-clustering for Clustering Ensembles.	ADMA	2006	DBLP DOI BibTeX RDF
18	Adrian K. Agogino, Kagan Tumer	Efficient agent-based cluster ensembles.	AAMAS	2006	DBLP DOI BibTeX RDF	clustering, reinforcement learning, multiagent systems
18	Alon Orlitsky, Krishnamurthy Viswanathan, Junan Zhang	Stopping set distribution of LDPC code ensembles.	IEEE Trans. Inf. Theory	2005	DBLP DOI BibTeX RDF
18	Steve Zhang, Ira Cohen, Moisés Goldszmidt, Julie Symons, Armando Fox	Ensembles of Models for Automated Diagnosis of System Performance Problems.	DSN	2005	DBLP DOI BibTeX RDF
18	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Ensembles of Multilayer Feedforward: Some New Results.	IWANN	2005	DBLP DOI BibTeX RDF
18	Juan Jose García Adeva, Rafael A. Calvo	A Decomposition Scheme Based on Error-Correcting Output Codes for Ensembles of Text Categorisers.	ICITA (1)	2005	DBLP DOI BibTeX RDF
18	Petra Povalej, Mitja Lenic, Peter Kokol	Improving Ensembles with Classificational Cellular Automata.	IDEAL	2005	DBLP DOI BibTeX RDF
18	Matthew Prior, Terry Windeatt	Over-Fitting in Ensembles of Neural Network Classifiers Within ECOC Frameworks.	Multiple Classifier Systems	2005	DBLP DOI BibTeX RDF
18	José L. Encarnação, Thomas Kirste	Ambient Intelligence: Towards Smart Appliance Ensembles.	From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments	2005	DBLP DOI BibTeX RDF
18	Shuai Zhang, Daniel Neagu, Catalin Balescu	Refinement of Clustering Solutions Using a Multi-label Voting Algorithm for Neuro-fuzzy Ensembles.	ICNC (3)	2005	DBLP DOI BibTeX RDF
18	Yu-Bin Yang, Shifu Chen, Zhi-Hua Zhou, Hui Lin 0002, Yukun Ye	An Intelligent Medical Image Understanding Method Using Two-Tier Neural Network Ensembles.	IEA/AIE	2005	DBLP DOI BibTeX RDF
18	Joaquín Torres-Sospedra, Mercedes Fernández-Redondo, Carlos Hernández-Espinosa	Combination Methods for Ensembles of MF.	ICANN (2)	2005	DBLP DOI BibTeX RDF