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Results 1 to 25 of 1230

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On model selection in the computer ageHJORTH, U.Journal of statistical planning and inference. 1989, Vol 23, Num 1, pp 101-115, issn 0378-3758, 15 p.Article

The frequentist implications of optional stopping on Bayesian hypothesis testsSANBORN, Adam N; HILLS, Thomas T.Psychonomic bulletin & review. 2014, Vol 21, Num 2, pp 283-300, issn 1069-9384, 18 p.Article

Analysis of some flexible families of distributions for estimation of wind speed distributionsUSTA, Ilhan; KANTAR, Yeliz Mert.Applied energy. 2012, Vol 89, Num 1, pp 355-367, issn 0306-2619, 13 p.Article

Special Issue on Model Selection and Optimization in Machine LearningÖZÖGÜR-AKYÜZ, Süreyya; ÜNAY, Devrim; SMOLA, Alex et al.Machine learning. 2011, Vol 85, Num 1-2, issn 0885-6125, 249 p.Serial Issue

Stochastic models for wind speed forecastingBIVONA, S; BONANNO, G; BURLON, R et al.Energy conversion and management. 2011, Vol 52, Num 2, pp 1157-1165, issn 0196-8904, 9 p.Article

Prior knowledge guided maximum expected likelihood based model selection and adaptation for nonnative speech recognitionXIAODONG HE; YUNXIN ZHAO.Computer speech & language (Print). 2007, Vol 21, Num 2, pp 247-265, issn 0885-2308, 19 p.Article

In-sample Model Selection for Trimmed Hinge Loss Support Vector MachineANGUITA, Davide; GHIO, Alessandro; ONETO, Luca et al.Neural processing letters. 2012, Vol 36, Num 3, pp 275-283, issn 1370-4621, 9 p.Article

An optimal adjustment procedure to minimize experiment time in decisions with multiple alternativesHAWKINS, Guy E; BROWN, Scott D; STEYVERS, Mark et al.Psychonomic bulletin & review. 2012, Vol 19, Num 2, pp 339-348, issn 1069-9384, 10 p.Article

Using priors to formalize theory: Optimal attention and the generalized context modelVANPAEMEL, Wolf; LEE, Michael D.Psychonomic bulletin & review. 2012, Vol 19, Num 6, pp 1047-1056, issn 1069-9384, 10 p.Article

On the number of groups in clusteringFISCHER, Aurélie.Statistics & probability letters. 2011, Vol 81, Num 12, pp 1771-1781, issn 0167-7152, 11 p.Article

Improved penalization for determining the number of factors in approximate factor modelsALESSI, Lucia; BARIGOZZI, Matteo; CAPASSO, Marco et al.Statistics & probability letters. 2010, Vol 80, Num 23-24, pp 1806-1813, issn 0167-7152, 8 p.Article

Differentiating between coefficient break and volatility breakFUKUDA, Kosei.Applied mathematics and computation. 2006, Vol 176, Num 1, pp 262-269, issn 0096-3003, 8 p.Article

Detecting multiple change-points in the mean of Gaussian process by model selectionLEBARBIER, E.Signal processing. 2005, Vol 85, Num 4, pp 717-736, issn 0165-1684, 20 p.Article

Bayesian model selection for mining mass spectrometry dataSAKSENA, Anshu; LUCARELLI, Dennis; WANG, I.-Jeng et al.Neural networks. 2005, Vol 18, Num 5-6, pp 843-849, issn 0893-6080, 7 p.Conference Paper

Stability-based preference selection in affinity propagationCHEN, Dong-Wei; SHENG, Jian-Qiang; CHEN, Jun-Jie et al.Neural computing & applications (Print). 2014, Vol 25, Num 7-8, pp 1809-1822, issn 0941-0643, 14 p.Article

Landscaping analyses of the ROC predictions of discrete-slots and signal-detection models of visual working memoryDONKIN, Chris; CHI TRAN, Sophia; NOSOFSKY, Robert et al.Attention, perception & psychophysics. 2014, Vol 76, Num 7, pp 2103-2116, issn 1943-3921, 14 p.Article

Diffusion models of the flanker task: Discrete versus gradual attentional selectionWHITE, Corey N; RATCLIFF, Roger; STARNS, Jeffrey J et al.Cognitive psychology (Print). 2011, Vol 63, Num 4, pp 210-238, issn 0010-0285, 29 p.Article

The analysis of unreplicated factorial experiments using all possible comparisonsMILLER, Arden.Technometrics. 2005, Vol 47, Num 1, pp 51-63, issn 0040-1706, 13 p.Article

Cluster validation in problems with increasing dimensionality and unbalanced clustersLAGO-FERNANDEZ, Luis F; ARAGON, Jesús; MARTINEZ-MUNOZ, Gonzalo et al.Neurocomputing (Amsterdam). 2014, Vol 123, pp 33-39, issn 0925-2312, 7 p.Conference Paper

Fast estimation of the Integrated Completed Likelihood criterion for change-point detection problems with applications to Next-Generation Sequencing dataCLEYNEN, Alice; THE MINH LUONG; RIGAILL, Guillem et al.Signal processing. 2014, Vol 98, pp 233-242, issn 0165-1684, 10 p.Article

Regularization Path for ν-Support Vector ClassificationBIN GU; WANG, Jian-Dong; ZHENG, Guan-Sheng et al.IEEE transactions on neural networks and learning systems (Print). 2012, Vol 23, Num 5, pp 800-811, issn 2162-237X, 12 p.Article

Gaussian mixture learning via robust competitive agglomerationZHIWU LU; YUXIN PENG; IP, Horace H. S et al.Pattern recognition letters. 2010, Vol 31, Num 7, pp 539-547, issn 0167-8655, 9 p.Article

On the connection between model selection criteria and quadratic discrimination in ARMA time series modelsGALEANO, Pedro; PENA, Daniel.Statistics & probability letters. 2007, Vol 77, Num 9, pp 896-900, issn 0167-7152, 5 p.Article

Constructing a speculative kernel machine for pattern classificationCHOUDHURY, Arindam; NAIR, Prasanth B; KEANE, Andy J et al.Neural networks. 2006, Vol 19, Num 1, pp 84-89, issn 0893-6080, 6 p.Article

BIC-based unit-root detection : Simulation-based evidenceFUKUDA, Kosei.Applied mathematics and computation. 2006, Vol 183, Num 1, pp 518-521, issn 0096-3003, 4 p.Article

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