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Model selection

Known as: Model comparison 
Model selection is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre-existing set of… 
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Related topics

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Additive modelAkaike information criterionAlgorithmic information theoryAll models are wrong

Papers overview

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2018
2018
Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP
We introduce Baseline: a library for reproducible deep learning research and fast model development for NLP. The library provides… 
2014
2014
Minimum divergence estimation of speaker prior in multi-session PLDA scoring
Probabilistic linear discriminant analysis (PLDA) has shown to be effective for modeling speaker and channel variability in the i… 
2011
2011
Design of nearly constant velocity track filters for brief maneuvers
When tracking maneuvering targets with conventional algorithms, the process noise standard deviation used in the nearly constant… 
2010
2010
Satellite remote sensing of Asian aerosols : a case study of clean , polluted and dust storm days
Introduction Conclusions References 
2008
2008
On the Reliability of Clustering Stability in the Large Sample Regime
where θ, θ′ ∈ Θ are the solutions returned by Ak(S1), Ak(S2), and S1, S2 are random samples, each of size m, drawn i.i.d from the… 
2007
2007
Noise Condition-Dependent Training Based on Noise Classification and SNR Estimation
Condition-dependent training strategy divides a training database into a number of clusters, each corresponding to a noise… 
2006
2006
Uniqueness of Non-Gaussian Subspace Analysis
Dimension reduction provides an important tool for preprocessing large scale data sets. A possible model for dimension reduction… 
Review
2001
Review
2001
Overview of the Agent-Based Modeling and Behavior Representation (AMBR) Model Comparison Project
Abstract : The Air Force Research Laboratory (AFRL) is sponsoring a series of human performance model comparisons under the Agent… 
2001
2001
Feature Space Restructuring for SVMs with Application to Text Categorization
In this paper, we propose a new method of text categorization based on feature space restructuring for SVMs. In our method… 
1998
1998
WHY WE NEED AN R 2 MEASURE OF FIT (AND NOT ONLY ONE) IN PROC LOGISTIC AND PROC GENMOD
We propose to use two seemingly different R 2 measures of fit in PROC LOGISTIC and PROC GENMOD (SAS/STAT), and we show that they…