Search results for "Model Selection"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
4	Lei Xu	A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective.	Challenges for Computational Intelligence	2007	DBLP DOI BibTeX RDF	Bayesian Ying-Yang system, Best harmony learning, Automatic model selection, Local factor analysis, theoretical issues, Regularization, Model selection, challenges, Statistical learning, Gaussian mixture, BIC, Best matching, Best fitting, AIC
4	Ch. Ali Asad, Muhammad Irfan Ullah, Muhammad Jaffar-Ur Rehman	An Approach for Software Reliability Model Selection.	COMPSAC	2004	DBLP DOI BibTeX RDF	model classification, model selection criteria, model selection techniques, Software reliability models
3	Cruz E. Borges, César Luis Alonso, José L. Montaña	Model selection in genetic programming.	GECCO	2010	DBLP DOI BibTeX RDF	genetic programming, model selection, symbolic regression
3	Amit Dhurandhar, Alin Dobra	Semi-analytical method for analyzing models and model selection measures based on moment analysis.	TKDD	2009	DBLP DOI BibTeX RDF	classification, Model selection, generalization error
3	Marcelo N. Kapp, Robert Sabourin, Patrick Maupin	A PSO-based framework for dynamic SVM model selection.	GECCO	2009	DBLP DOI BibTeX RDF	support vector machines, particle swarm optimization, model selection, dynamic optimization
3	Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma, Kenji Aoki, Takayuki Nakata	Linear Time Model Selection for Mixture of Heterogeneous Components.	ACML	2009	DBLP DOI BibTeX RDF	heterogeneous mixture model, model selection, minimum description length
3	Jan Schepers, Eva Ceulemans, Iven Van Mechelen	Selecting Among Multi-Mode Partitioning Models of Different Complexities: A Comparison of Four Model Selection Criteria.	J. Classification	2008	DBLP DOI BibTeX RDF	Multi-mode partitioning, Model selection, Number of clusters
3	Zhiwu Lu, Yuxin Peng	A Semi-supervised Learning Algorithm on Gaussian Mixture with Automatic Model Selection.	Neural Processing Letters	2008	DBLP DOI BibTeX RDF	Entropy regularization, Semi-supervised learning, Model selection, Gaussian mixture, Pairwise constraints
3	Konrad Schindler, David Suter, Hanzi Wang	A Model-Selection Framework for Multibody Structure-and-Motion of Image Sequences.	International Journal of Computer Vision	2008	DBLP DOI BibTeX RDF	Multibody structure-and-motion, 3D motion segmentation, Model selection
3	Zhijie Ren, Jinwen Ma	BYY Harmony Learning on Weibull Mixture with Automated Model Selection.	ISNN	2008	DBLP DOI BibTeX RDF	Weibull mixture, Automated model selection, Simulated annealing, Parameter learning, Bayesian Ying-Yang (BYY) harmony learning
3	Hong Zhang, Masumi Ishikawa	Evolutionary Canonical Particle Swarm Optimizer - A Proposal of Meta-optimization in Model Selection.	ICANN	2008	DBLP DOI BibTeX RDF	canonical particle swarm optimization, evolutionary particle swarm optimization, temporally cumulative fitness, model selection, real-coded genetic algorithm
3	Lei Shi	Bayesian Ying-Yang Harmony Learning for Local Factor Analysis: A Comparative Investigation.	Oppositional Concepts in Computational Intelligence	2008	DBLP DOI BibTeX RDF	Local Factor Analysis, Two-phase implementation, Automatic model selection, Bayesian Ying-Yang harmony learning, Data smoothing, Model selection, Small sample size, Incremental methods
3	Magalie Fromont	Model selection by bootstrap penalization for classification.	Machine Learning	2007	DBLP DOI BibTeX RDF	Bootstrap penalty, Exponential inequality, Oracle inequality, Minimax risk, Classification, Model selection
3	Zhiwu Lu	Entropy Regularized Likelihood Learning on Gaussian Mixture: Two Gradient Implementations for Automatic Model Selection.	Neural Processing Letters	2007	DBLP DOI BibTeX RDF	model selection, Gaussian mixture, competitive learning, regularization theory
3	Konrad Schindler, David Suter	Two-View Multibody Structure-and-Motion with Outliers through Model Selection.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	3D motion segmentation, model selection, Dynamic scenes, structure-and-motion
3	Constantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas	Bayesian Feature and Model Selection for Gaussian Mixture Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	variational training, feature selection, Mixture models, model selection, Bayesian approach
3	Tao Xiang, Shaogang Gong	Model Selection for Unsupervised Learning of Visual Context.	International Journal of Computer Vision	2006	DBLP DOI BibTeX RDF	learning for vision, visual context, dynamic scene modelling, clustering, mixture models, model selection, Bayesian methods
3	Zhiwu Lu, Xiaoqing Lu	A Generalized Competitive Learning Algorithm on Gaussian Mixture with Automatic Model Selection.	RSKT	2006	DBLP DOI BibTeX RDF	model selection, Gaussian mixture, competitive learning, regularization theory
3	Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu	Efficient model selection for regularized linear discriminant analysis.	CIKM	2006	DBLP DOI BibTeX RDF	regularization, model selection, linear discriminant analysis, dimension reduction
3	Ernesto De Vito, Andrea Caponnetto, Lorenzo Rosasco	Model Selection for Regularized Least-Squares Algorithm in Learning Theory.	Foundations of Computational Mathematics	2005	DBLP DOI BibTeX RDF	Optimal choice of parameters, Regularized least-squares algorithm, Model selection
3	Abdissa Negassa, Antonio Ciampi, Michal Abrahamowicz, Stanley Shapiro, Jean-François Boivin	Tree-structured subgroup analysis for censored survival data: Validation of computationally inexpensive model selection criteria.	Statistics and Computing	2005	DBLP DOI BibTeX RDF	censored survival data, two-stage approach, subgroup analysis, model selection, regression tree
3	Wojciech Jaworski	Model Selection and Assessment for Classification Using Validation.	RSFDGrC	2005	DBLP DOI BibTeX RDF	Model Assessment, Hold-Out Estimate, Train-and-Test, Validation, Model Selection, Computational learning theory
3	James P. Hoffmann, Christopher D. Ellingwood, Osei M. Bonsu, Daniel E. Bentil	Ecological Model Selection via Evolutionary Computation and Information Theory.	Genetic Programming and Evolvable Machines	2004	DBLP DOI BibTeX RDF	complexity-based fitness, variable-length representation, genetic algorithms, model selection, parsimony
3	Bojan Kverh, Ales Leonardis	A generalisation of model selection criteria.	Pattern Anal. Appl.	2004	DBLP DOI BibTeX RDF	Segmentation, Reverse engineering, Model selection, Range images, Minimum description length, Parametric models
3	Lih-Ren Jen, Yuh-Jye Lee	Clustering Model Selection for Reduced Support Vector Machines.	IDEAL	2004	DBLP DOI BibTeX RDF	Reduced Set, k-means Clustering Algorithm, Support Vector Machine, Model Selection, Radial Basis Function Network, Gaussian Kernel
3	Florence Forbes, Nathalie Peyrard	Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	hidden Markov random fields, Image segmentation, model selection, partition function, Bayesian Information Criterion, mean field approximation
3	Nicholas T. Longford	An alternative to model selection in ordinary regression.	Statistics and Computing	2003	DBLP DOI BibTeX RDF	single-model based estimator, synthetic estimator, two-stage procedure, model selection, hypothesis testing, mean squared error
3	Josef Kittler, Kieron Messer, Mohammad Sadeghi	Model Selection by Predictive Validation.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Mixture modelling, Model selection, Model validation
3	Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu	Document clustering with cluster refinement and model selection capabilities.	SIGIR	2002	DBLP DOI BibTeX RDF	EM algorithm, gaussian mixtures model, document clustering, model selection
3	Josef Kittler, Kieron Messer, Mohammad Sadeghi	Model Validation for Model Selection.	ICAPR	2001	DBLP DOI BibTeX RDF	predictive validation, model selection, gaussian mixtures
3	Philip H. S. Torr	An Assessment of Information Criteria for Motion Model Selection.	CVPR	1997	DBLP DOI BibTeX RDF	Robust, Model Selection, Multiple View Geometry
2	Tobias Glasmachers, Christian Igel	Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters.	IEEE Trans. Pattern Anal. Mach. Intell.	2010	DBLP DOI BibTeX RDF	Support vector machines, regularization, model selection, maximum likelihood
2	Diego Rodriguez Martínez, José Carlos Cabaleiro, Tomás Fernandez Pena, Francisco Fernandez Rivera, Vicente Blanco Pérez	Performance Modeling of MPI Applications Using Model Selection Techniques.	PDP	2010	DBLP DOI BibTeX RDF	Akaike's information criterion, MPI, performance models, model selection
2	Markus Muhr, Vedran Sabol, Michael Granitzer	Scalable Recursive Top-Down Hierarchical Clustering Approach with Implicit Model Selection for Textual Data Sets.	DEXA Workshops	2010	DBLP DOI BibTeX RDF	information landscape, growing k-means, model selection, vector space model, topic hierarchy
2	Nikolaj Tatti	Probably the best itemsets.	KDD	2010	DBLP DOI BibTeX RDF	bayesian model selection, decomposable models, exponential models, MCMC, junction tree, itemset mining
2	Kenneth Scerri, Michael Dewar, Visakan Kadirkamanathan	Estimation and Model Selection for an IDE-Based Spatio-Temporal Model.	IEEE Transactions on Signal Processing	2009	DBLP DOI BibTeX RDF
2	Marc Boullé	Optimum simultaneous discretization with data grid models in supervised classification: a Bayesian model selection approach.	Adv. Data Analysis and Classification	2009	DBLP DOI BibTeX RDF	Mathematics Subject Classification (2000) 62H17, 62H20, 62H30
2	Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato	Automatic Model Selection by Cross-Validation for Probabilistic PCA.	Neural Processing Letters	2009	DBLP DOI BibTeX RDF	Missing value imputation, Simulated annealing, Dimensionality reduction, Cross-validation, Probabilistic principal components analysis (PPCA), Probability density estimation
2	George Almpanidis, Margarita Kotti, Constantine Kotropoulos	Robust Detection of Phone Boundaries Using Model Selection Criteria With Few Observations.	IEEE Transactions on Audio, Speech & Language Processing	2009	DBLP DOI BibTeX RDF
2	Tobias Jung, Peter Stone	Feature Selection for Value Function Approximation Using Bayesian Model Selection.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
2	Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor Pineda	Particle Swarm Model Selection for Authorship Verification.	CIARP	2009	DBLP DOI BibTeX RDF
2	Ayoung Kim, Ryan Eustice	Pose-graph visual SLAM with geometric model selection for autonomous underwater ship hull inspection.	IROS	2009	DBLP DOI BibTeX RDF
2	Aydin Ulas, Olcay Taner Yildiz	An Incremental Model Selection Algorithm Based on Cross-Validation for Finding the Architecture of a Hidden Markov Model on Hand Gesture Data Sets.	ICMLA	2009	DBLP DOI BibTeX RDF	Hidden Markov model, model selection, cross-validation
2	Yaohua Tang, Weimin Guo, Jinghuai Gao	Efficient model selection for Support Vector Machine with Gaussian kernel function.	CIDM	2009	DBLP DOI BibTeX RDF
2	Merlin Keller, Marc Lavielle, Matthieu Perrot, Alexis Roche	Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis.	MICCAI	2009	DBLP DOI BibTeX RDF
2	Paulo Cortez, Juliana Teixeira, António Cerdeira, Fernando Almeida, Telmo Matos, José Reis	Using Data Mining for Wine Quality Assessment.	Discovery Science	2009	DBLP DOI BibTeX RDF	Sensory Preferences, Variable and Model Selection, Wine Science, Support Vector Machines, Sensitivity Analysis, Ordinal Regression
2	Guoqi Qian, Yuehua Wu, Qing Shao	A Procedure for Estimating the Number of Clusters in Logistic Regression Clustering.	J. Classification	2009	DBLP DOI BibTeX RDF	Logistic regression clustering, Model selection, Asymptotics, Penalty
2	Koichiro Yamauchi	Optimal incremental learning under covariate shift.	Memetic Computing	2009	DBLP DOI BibTeX RDF	Generalization capabilities, Student’s-t distribution, Model selection, Incremental learning, Radial basis function neural network (RBFNN), Covariate shift
2	Lei Wang 0001, Kap Luk Chan, Ping Xue, Luping Zhou	A Kernel-Induced Space Selection Approach to Model Selection in KLDA.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
2	Shuiwang Ji, Jieping Ye	Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
2	Ralph dos Santos Silva, Hedibert Freitas Lopes	Copula, marginal distributions and model selection: a Bayesian note.	Statistics and Computing	2008	DBLP DOI BibTeX RDF	Deviance information criterion, Marginal distribution, Measure of dependence, Monte Carlo study, Skewness, Copula
2	Willi Sauerbrei, Norbert Holländer, Anika Buchholz	Investigation about a screening step in model selection.	Statistics and Computing	2008	DBLP DOI BibTeX RDF	Model selection uncertainty, Variable screening, Simulation, Bootstrap
2	Lan Du, Hongwei Liu, Zheng Bao	Radar HRRP Statistical Recognition: Parametric Model and Model Selection.	IEEE Transactions on Signal Processing	2008	DBLP DOI BibTeX RDF
2	Lei Wang 0001, Ping Xue, Kap Luk Chan	Two Criteria for Model Selection in Multiclass Support Vector Machines.	IEEE Transactions on Systems, Man, and Cybernetics, Part B	2008	DBLP DOI BibTeX RDF
2	Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin	Proper Model Selection with Significance Test.	ECML/PKDD	2008	DBLP DOI BibTeX RDF
2	Tobias Glasmachers, Christian Igel	Uncertainty Handling in Model Selection for Support Vector Machines.	PPSN	2008	DBLP DOI BibTeX RDF
2	Bin Zhao, Fei Wang 0001, Changshui Zhang, Yangqiu Song	Active model selection for Graph-Based Semi-Supervised Learning.	ICASSP	2008	DBLP DOI BibTeX RDF
2	D. Robert Iskander, Weaam Alkhaldi, Abdelhak M. Zoubir	On the computer intensive methods in model selection.	ICASSP	2008	DBLP DOI BibTeX RDF
2	Sreenivas R. Sukumar, Hamparsum Bozdogan, David L. Page, Andreas Koschan, Mongi A. Abidi	Uncertainty minimization in multi-sensor localization systems using model selection theory.	ICPR	2008	DBLP DOI BibTeX RDF
2	Fabian Timm, Sascha Klement, Thomas Martinetz	Fast model selection for MaxMinOver-based training of support vector machines.	ICPR	2008	DBLP DOI BibTeX RDF
2	Amar A. El-Sallam	Model selection-based blind channel estimation method for parsimonious MIMO-COFDM systems.	MMSP	2008	DBLP DOI BibTeX RDF
2	Koji Yamasaki, Koichi Shinoda, Sadaoki Furui	Automatically estimating number of scenes for rushes summarization.	TVS	2008	DBLP DOI BibTeX RDF	mdl, model selection, video summarization, trecvid, rushes
2	Jinwen Ma, Lei Li	Automatic Straight Line Detection through Fixed-Point BYY Harmony Learning.	ICIC	2008	DBLP DOI BibTeX RDF	Straight line detection, Automated model selection, Major principal component, Gaussian mixture, Bayesian Ying-Yang (BYY) harmony learning
2	Hengyu Wang, Lei Li, Jinwen Ma	The Competitive EM Algorithm for Gaussian Mixtures with BYY Harmony Criterion.	ICIC	2008	DBLP DOI BibTeX RDF	Competitive EM (CEM) algorithm, Model selection, Gaussian mixture, Bayesian Ying-Yang (BYY) harmony learning
2	Gang Chen, Lei Li, Jinwen Ma	A Gradient BYY Harmony Learning Algorithm for Straight Line Detection.	ISNN	2008	DBLP DOI BibTeX RDF	Gradient algorithm, Automated model selection, Straight line detection, Bayesian Ying-Yang (BYY) harmony learning
2	Lei Li, Jinwen Ma	A BYY Split-and-Merge EM Algorithm for Gaussian Mixture Learning.	ISNN	2008	DBLP DOI BibTeX RDF	Parameter estimation, EM algorithm, Model selection, Gaussian mixture, Bayesian Ying-Yang (BYY) harmony learning
2	Yuanqing Li, Cuntai Guan	Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm.	Machine Learning	2008	DBLP DOI BibTeX RDF	Rayleigh coefficient, Supporter vector machine (SVM), Feature extraction, Semi-supervised learning, Model selection
2	Michael Yudelson, Olga Medvedeva, Rebecca S. Crowley	A multifactor approach to student model evaluation.	User Model. User-Adapt. Interact.	2008	DBLP DOI BibTeX RDF	Knowledge Tracing, Intelligent medical training systems, Machine learning, Hidden Markov Models, Methodology, Probabilistic models, Intelligent tutoring systems, Decision theory, Model selection, Student modeling, Bayesian models, Model evaluation
2	Raisa Z. Freidlin, Evren Özarslan, M. E. Komlosh, Lin-Ching Chang, Cheng Guan Koay, D. K. Jones, Peter J. Basser	Parsimonious Model Selection for Tissue Segmentation and Classification Applications: A Study Using Simulated and Experimental DTI Data.	IEEE Trans. Med. Imaging	2007	DBLP DOI BibTeX RDF
2	Zhiguang Shi, Jianxiong Zhou, HongZhong Zhao, Qiang Fu	Study on joint Bayesian model selection and parameter estimation method of GTD model.	Science in China Series F: Information Sciences	2007	DBLP DOI BibTeX RDF	RJ-MCMC, GTD model, scattering centers, model order selection, CRB, parameter estimation, ESPRIT
2	Shang-Ming Zhou, John Q. Gan	Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking.	IEEE T. Fuzzy Systems	2007	DBLP DOI BibTeX RDF
2	Kenji Yamanishi, Yuko Maruyama	Dynamic Model Selection With its Applications to Novelty Detection.	IEEE Transactions on Information Theory	2007	DBLP DOI BibTeX RDF
2	Jianfeng Liu, Jinwen Ma	An Adaptive Gradient BYY Learning Rule for Poisson Mixture with Automated Model Selection.	ICIC	2007	DBLP DOI BibTeX RDF
2	Henryk Maciejewski, George Anders	Problem of Model Selection for Estimation of Equipment Remaining Life.	DepCoS-RELCOMEX	2007	DBLP DOI BibTeX RDF
2	Clément Chatelain, Sébastien Adam, Yves Lecourtier, Laurent Heutte, Thierry Paquet	Multi-Objective Optimization for SVM Model Selection.	ICDAR	2007	DBLP DOI BibTeX RDF
2	Kai Huang, Le Wang, Jinwen Ma	Efficient Training of RBF Networks Via the BYY Automated Model Selection Learning Algorithms.	ISNN	2007	DBLP DOI BibTeX RDF
2	Zhiwu Lu, Xiaoqing Lu, Zhiyuan Ye	Asymptotic Convergence Properties of Entropy Regularized Likelihood Learning on Finite Mixtures with Automatic Model Selection.	ISNN	2007	DBLP DOI BibTeX RDF
2	Zhiwu Lu, Xiaoqing Lu, Zhiyuan Ye	Entropy Regularization, Automatic Model Selection, and Unsupervised Image Segmentation.	PAKDD	2007	DBLP DOI BibTeX RDF
2	Koichiro Yamauchi, Masayoshi Sato	Incremental Learning of Spatio-temporal Patterns with Model Selection.	ICANN	2007	DBLP DOI BibTeX RDF	RBF, model selection, incremental learning, spatio-temporal patterns
2	Dan Zhang, Yiu-ming Cheung	A Batch Rival Penalized EM Algorithm for Gaussian Mixture Clustering with Automatic Model Selection.	RSKT	2007	DBLP DOI BibTeX RDF	Maximum Weighted Likelihood, Rival Penalized Expectation-Maximization Algorithm, Learning Rate
2	Yong-Dian Jian, Chu-Song Chen	Two-View Motion Segmentation by Mixtures of Dirichlet Process with Model Selection and Outlier Removal.	ICCV	2007	DBLP DOI BibTeX RDF
2	Mattan Winaver, Oren Kurland, Carmel Domshlak	Towards robust query expansion: model selection in the language modeling framework.	SIGIR	2007	DBLP DOI BibTeX RDF	query clarity, query drift, language models, query expansion, model selection
2	Nicole Krämer, Mikio L. Braun	Kernelizing PLS, degrees of freedom, and efficient model selection.	ICML	2007	DBLP DOI BibTeX RDF
2	Marcus Hutter	The Loss Rank Principle for Model Selection.	COLT	2007	DBLP DOI BibTeX RDF
2	Hong Zeng, Yiu-ming Cheung	Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection.	IJCNN	2007	DBLP DOI BibTeX RDF
2	Juha Reunanen	Model Selection and Assessment Using Cross-indexing.	IJCNN	2007	DBLP DOI BibTeX RDF
2	Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González	Automatic Model Selection for Probabilistic PCA.	IWANN	2007	DBLP DOI BibTeX RDF	dimensionality reduction, cross-validation, handwritten digit recognition, Probabilistic Principal Components Analysis (PPCA)
2	Gilles Lebrun, Olivier Lezoray, Christophe Charrier, Hubert Cardot	An EA Multi-model Selection for SVM Multiclass Schemes.	IWANN	2007	DBLP DOI BibTeX RDF
2	Jaakko Hollmén	Model Selection and Estimation Via Subjective User Preferences.	Discovery Science	2007	DBLP DOI BibTeX RDF
2	Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright	Towards Privacy-Preserving Model Selection.	PinKDD	2007	DBLP DOI BibTeX RDF
2	Christian Igel, Tobias Glasmachers, Britta Mersch, Nico Pfeifer, Peter Meinicke	Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection.	IEEE/ACM Trans. Comput. Biology Bioinform.	2007	DBLP DOI BibTeX RDF	oligo kernel, kernel target alignment, support vector machines, model selection, Sequence analysis, translation initiation sites
2	Ke Zhang, Huidong Jin, Nianjun Liu, Rob Lesslie, Lei Wang 0001, Zhouyu Fu, Terry Caelli	Discovering Prediction Model for Environmental Distribution Maps.	PAKDD Workshops	2007	DBLP DOI BibTeX RDF	Environmental distribution map, feature selection, model selection, prediction model
2	Eirik Fossgård, Tor Flå	An Invariant Bayesian Model Selection Principle for Gaussian Data in a Sparse Representation.	IEEE Transactions on Information Theory	2006	DBLP DOI BibTeX RDF
2	J. Suzuki	On Strong Consistency of Model Selection in Classification.	IEEE Transactions on Information Theory	2006	DBLP DOI BibTeX RDF
2	Nasimul Noman, Hitoshi Iba	Inference of genetic networks using S-system: information criteria for model selection.	GECCO	2006	DBLP DOI BibTeX RDF	information criteria, reverse engineering, genetic network, S-system
2	Ziang Lv, Siwei Luo, Yunhui Liu, Yu Zheng	Information Geometry Approach to the Model Selection of Neural Networks.	ICICIC	2006	DBLP DOI BibTeX RDF
2	Yunhui Liu, Siwei Luo, Ziang Lv, Hua Huang	A Neural Network Structure Evolution Algorithm Based on e, m Projections and Model Selection Criterion.	ISNN	2006	DBLP DOI BibTeX RDF
2	Nicandro Cruz-Ramírez, Héctor-Gabriel Acosta-Mesa, Rocío-Erandi Barrientos-Martínez, Luis-Alonso Nava-Fernández	How Good Are the Bayesian Information Criterion and the Minimum Description Length Principle for Model Selection? A Bayesian Network Analysis.	MICAI	2006	DBLP DOI BibTeX RDF
2	Chunyan Zhang, Jin Tang, Bin Luo	Automatic T-Mixture Model Selection via Rival Penalized EM.	HIS	2006	DBLP DOI BibTeX RDF
2	Bruno Feres de Souza, André Carlos Ponce Leon Ferreira de Carvalho, Rodrigo Calvo, Renato Porfirio Ishii	Multiclass SVM Model Selection Using Particle Swarm Optimization.	HIS	2006	DBLP DOI BibTeX RDF