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» Generalization risk minimization in empirical game models
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IJCNN
2006
IEEE
14 years 1 months ago
Semi-Supervised Model Selection Based on Cross-Validation
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
Matti Kaariainen
GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
14 years 16 days ago
Model selection in genetic programming
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
Cruz E. Borges, César Luis Alonso, Jos&eacu...
ECIS
2004
13 years 9 months ago
Perceived risk and trust associated with purchasing at electronic marketplaces
Understanding consumer behavior is of vital importance to consumer oriented e-business models today. In this paper we report on a study into the relationships between consumer per...
Tibert Verhagen, Yao-Hua Tan
ATAL
2009
Springer
14 years 2 months ago
Computing optimal randomized resource allocations for massive security games
Predictable allocations of security resources such as police officers, canine units, or checkpoints are vulnerable to exploitation by attackers. Recent work has applied game-theo...
Christopher Kiekintveld, Manish Jain, Jason Tsai, ...
IJCNN
2007
IEEE
14 years 2 months ago
Evaluation of Performance Measures for SVR Hyperparameter Selection
— To obtain accurate modeling results, it is of primal importance to find optimal values for the hyperparameters in the Support Vector Regression (SVR) model. In general, we sea...
Koen Smets, Brigitte Verdonk, Elsa Jordaan