Mingyang Xu

Massachusetts Institute of Technology (MIT)

77 Massachusetts Avenue

50 Memorial Drive

Cambridge, MA 02139-4307

United States

SCHOLARLY PAPERS

5

DOWNLOADS

185

CITATIONS

2

Scholarly Papers (5)

1.

Survey of Model Selection and Model Combination

Number of pages: 39 Posted: 17 Jan 2011
Mingyang Xu and Michael Golay
Massachusetts Institute of Technology (MIT) and affiliation not provided to SSRN
Downloads 86 (205,050)

Abstract:

Model selection, model combination, model distance, principle of parsimony, generability estimation

2.

Adaptive Fuzzy Mixture of Local Feature Models

Number of pages: 32 Posted: 17 Jan 2011
Mingyang Xu and Michael Golay
Massachusetts Institute of Technology (MIT) and affiliation not provided to SSRN
Downloads 23 (400,823)

Abstract:

Adaptive fuzzy mixture, local feature model, PCA, ICA, phase transition, fuzzy parametric clustering, Real-coded Genetic Algorithm

3.

Individual Shrinkage-Based Fuzzy Variable Selection

Number of pages: 17 Posted: 17 Jan 2011
Mingyang Xu and Michael Golay
Massachusetts Institute of Technology (MIT) and affiliation not provided to SSRN
Downloads 19 (420,602)

Abstract:

Model selection, multiple regression, generalized ridge regression, effective model dimensionality, genetic algorithm, derivative-free local optimization

4.

Candidate Model Choice in Feature-Based Model Combination

Number of pages: 19 Posted: 17 Jan 2011
Mingyang Xu and Michael Golay
Massachusetts Institute of Technology (MIT) and affiliation not provided to SSRN
Downloads 15 (435,917)

Abstract:

Candidate model choice, feature-based model combination, model assessment, Bayesian information aggregation

5.

Data-Guided Model Combination by Decomposition and Aggregation

Machine Learning, Vol. 63, No. 1, pp. 43-67
Number of pages: 30 Posted: 17 Jan 2011
Mingyang Xu and Michael Golay
Massachusetts Institute of Technology (MIT) and affiliation not provided to SSRN
Downloads 14 (446,084)
Citation 2

Abstract:

Model Selection, Model Combination, Model Dependence, Model Structure, Model Decomposition, Principal Component Analysis, Independent Component Analysis, BIC, Cross-Validation