Model selection

Principles of modeling (panel)

WSC '91 Proceedings of the 23rd conference on Winter simulation

VV&A; IV: validation of trace-driven simulation models: more on bootstrap tests

Proceedings of the 32nd conference on Winter simulation

Local polynomial fitting in semivarying coefficient model

Journal of Multivariate Analysis

Applying classification algorithms in practice

Statistics and Computing

A Guide to the Literature on Learning Probabilistic Networks from Data

IEEE Transactions on Knowledge and Data Engineering

Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection

PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery

Power Macro-Modelling for Firm-Macro

PATMOS '00 Proceedings of the 10th International Workshop on Integrated Circuit Design, Power and Timing Modeling, Optimization and Simulation

Sum-discrepancy test on pseudorandom number generators

Mathematics and Computers in Simulation - Special issue: 3rd IMACS seminar on Monte Carlo methods - MCM 2001

Joint modelling of cause-specific hazard functions with cubic splines: an application to a large series of breast cancer patients

Computational Statistics & Data Analysis

Tutorial on maximum likelihood estimation

Journal of Mathematical Psychology

Discriminating between Weibull and generalized exponential distributions

Computational Statistics & Data Analysis

On learning multicategory classification with sample queries

Information and Computation

Kernel smoothing of periodograms under Kullback-Leibler discrepancy

Signal Processing

Self-organizing maps and clustering methods for matrix data

Neural Networks - 2004 Special issue: New developments in self-organizing systems

A Parsimonious Constraint-based Algorithm to Induce Bayesian Network Structures from Data

ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science

A model selection approach to signal denoising using Kullback's symmetric divergence

Signal Processing

Fast communication: Bayesian estimation of the number of principal components

Signal Processing

Valuations for spike train prediction

Neural Computation

Automatic model selection for partially linear models

Journal of Multivariate Analysis

Derivations of normalized mutual information in binary classifications

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1

Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory

The Journal of Machine Learning Research

Dynamic Bayesian multinets

UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence

A classifier-assisted framework for expensive optimization problems: a knowledge-mining approach

LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization

Performance analysis of classification techniques using different parameters

ICDEM'10 Proceedings of the Second international conference on Data Engineering and Management