Pages that link to "Item:Q1132048"

The following pages link to Modeling by shortest data description (Q1132048):

Displaying 50 items.

• High-resolution cross-estimation channel modelling method and experimental results on broadband mobile communication in urban rich-scattering environment (Q848487) (← links)
• Mathematical analysis of an extended Mumford-Shah model for image segmentation (Q851802) (← links)
• Maximum likelihood robust regression by mixture models (Q851811) (← links)
• Classification using hierarchical naïve Bayes models (Q851860) (← links)
• The max-min hill-climbing Bayesian network structure learning algorithm (Q851867) (← links)
• MODL: a Bayes optimal discretization method for continuous attributes (Q851870) (← links)
• Learning decomposable Markov networks in pseudo-independent domains with local evaluation (Q851873) (← links)
• Signal extraction and knowledge discovery based on statistical modeling (Q860830) (← links)
• A comparative investigation on model selection in independent factor analysis (Q864945) (← links)
• Rudiments of rough sets (Q867594) (← links)
• Hypotheses for image features, icons and textons (Q878252) (← links)
• Multiple appearance models (Q885198) (← links)
• A graphical approach to relatedness inference (Q885390) (← links)
• Model selection in multivariate adaptive regression splines (MARS) using information complexity as the fitness function (Q890291) (← links)
• Testing order constraints: qualitative differences between Bayes factors and normalized maximum likelihood (Q894591) (← links)
• Set-based approximate approach for lossless graph summarization (Q904121) (← links)
• A study of regularized Gaussian classifier in high-dimension small sample set case based on MDL principle with application to spectrum recognition (Q937427) (← links)
• About noneigenvector source localization methods (Q939003) (← links)
• GAKREM: A novel hybrid clustering algorithm (Q955234) (← links)
• Strong consistency of a family of model order selection rules for estimating 2D sinusoids in noise (Q956397) (← links)
• Segmenting magnetic resonance images via hierarchical mixture modelling (Q959183) (← links)
• Maximum a posteriori pruning on decision trees and its application to bootstrap bumping (Q959196) (← links)
• A dual latent class unfolding model for two-way two-mode preference rating data (Q961773) (← links)
• Model selection with the loss rank principle (Q962384) (← links)
• A clustering-based discretization for supervised learning (Q968468) (← links)
• Identification of nonlinear systems using polynomial nonlinear state space models (Q983202) (← links)
• DOA estimator performance assessment in the pre-asymptotic domain using the likelihood principle (Q985458) (← links)
• Feature selection for Bayesian network classifiers using the MDL-FS score (Q990984) (← links)
• Evaluation and selection of models for out-of-sample prediction when the sample size is small relative to the complexity of the data-generating process (Q1002545) (← links)
• A minimum description length approach to hidden Markov models with Poisson and Gaussian emissions. Application to order identification (Q1007478) (← links)
• Learning the structure of dynamic Bayesian networks from time series and steady state measurements (Q1009260) (← links)
• Minimum message length shrinkage estimation (Q1017808) (← links)
• On time series model selection involving many candidate ARMA models (Q1020721) (← links)
• Measurement by subjective estimation: Testing for separable representations (Q1023423) (← links)
• Semi-automatic dynamic auxiliary-tag-aided image annotation (Q1037821) (← links)
• Convolutive blind source separation based on joint block Toeplitzation and block-inner diagonalization (Q1048782) (← links)
• Asymptotic bootstrap corrections of AIC for linear regression models (Q1048800) (← links)
• AR order selection in the case when the model parameters are estimated by forgetting factor least-squares algorithms (Q1048842) (← links)
• Blind identification of MISO-FIR channels (Q1048846) (← links)
• Selecting the best linear transfer function model (Q1059611) (← links)
• Adaptive sequential segmentation of piecewise stationary time series (Q1069637) (← links)
• Testing causality using efficiently parametrized vector ARMA models (Q1086960) (← links)
• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions (Q1092542) (← links)
• On model order estimation for partially observed Markov chains (Q1105545) (← links)
• Quantifying inductive bias: AI learning algorithms and Valiant's learning framework (Q1106669) (← links)
• Inferring decision trees using the minimum description length principle (Q1115845) (← links)
• Nonstationary time series identification (Q1116608) (← links)
• Effects of skewness and kurtosis on model selection criteria (Q1128782) (← links)
• Estimation of pulse heights and arrival times (Q1145102) (← links)
• Strongly consistent estimation of the order of stochastic control systems (CARMA model) (Q1191801) (← links)