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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
Related topics
39 relations
Additive model
Akaike information criterion
Algorithmic information theory
All models are wrong
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
The Generalized DINA Model Framework
Jimmy de la Torre
2011
Corpus ID: 186218223
The G-DINA (generalized deterministic inputs, noisy “and” gate) model is a generalization of the DINA model with more relaxed…
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2011
2011
EUnit: a unit testing framework for model management tasks
A. García-Domínguez
,
D. Kolovos
,
Louis M. Rose
,
R. Paige
,
I. Medina-Bulo
ACM/IEEE International Conference on Model Driven…
2011
Corpus ID: 12746230
Validating and transforming models are essential steps in model-driven engineering. These tasks are often implemented as…
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2010
2010
Model comparison with GenericDiff
Zhenchang Xing
International Conference on Automated Software…
2010
Corpus ID: 10586969
This paper proposes GenericDiff, a general framework for model comparison. The main idea is to separate the specification of…
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Highly Cited
2008
Highly Cited
2008
Comparing cost prediction models by resampling techniques
N. Mittas
,
L. Angelis
Journal of Systems and Software
2008
Corpus ID: 19744003
Highly Cited
2006
Highly Cited
2006
The St. Lawrence polynya and the Bering shelf circulation : New observations and a model comparison
S. Danielson
,
K. Aagaard
,
+4 authors
D. Quadfasel
2006
Corpus ID: 28105545
[1] Using 14 yearlong instrumented moorings deployed south of St. Lawrence Island, along with oceanographic drifters, we…
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Highly Cited
2006
Highly Cited
2006
A Bias-Variance-Complexity Trade-Off Framework for Complex System Modeling
Lean Yu
,
K. Lai
,
Shouyang Wang
,
Wei Huang
Communication Systems and Applications
2006
Corpus ID: 17450146
This study proposes a new complex system modeling approach by extending a bias-variance trade-off into a bias-variance-complexity…
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Highly Cited
2005
Highly Cited
2005
Statistical modeling and conceptualization of natural images
Jianping Fan
,
Yuli Gao
,
Hangzai Luo
,
Guangyou Xu
Pattern Recognition
2005
Corpus ID: 14940575
Highly Cited
2004
Highly Cited
2004
Estimation for the number of components in a mixture model using stepwise split-and-merge EM algorithm
Haixian Wang
,
Bin Luo
,
Quanbing Zhang
,
Sui Wei
Pattern Recognition Letters
2004
Corpus ID: 29738501
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Radford M. Neal
1995
Corpus ID: 60809283
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…
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Highly Cited
1987
Highly Cited
1987
A reduced hessian strategy for sensitivity analysis of optimal flowsheets
Natarajan Ganesh
,
L. Biegler
1987
Corpus ID: 5611730
An efficient and rigorous strategy is presented for evaluating the first-order sensitivity of the optimal solution to changes in…
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