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NN
2002
Springer
224views Neural Networks» more  NN 2002»
15 years 4 months ago
Optimal design of regularization term and regularization parameter by subspace information criterion
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
Masashi Sugiyama, Hidemitsu Ogawa
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
15 years 2 months ago
HRP-2 plays the yoyo: From human to humanoid yoyo playing using optimal control
— Yoyo playing may seem easy for a human, but it is a challenging problem for a humanoid robot. This paper presents an approach to generate yoyo motions for the humanoid robot, H...
Katja Mombaur, Manish N. Sreenivasa
CASES
2010
ACM
15 years 1 months ago
Optimizing energy to minimize errors in dataflow graphs using approximate adders
Approximate arithmetic is a promising, new approach to lowenergy designs while tackling reliability issues. We present a method to optimally distribute a given energy budget among...
Zvi M. Kedem, Vincent John Mooney, Kirthi Krishna ...
ANTSW
2010
Springer
14 years 11 months ago
A Deterministic Metaheuristic Approach Using "Logistic Ants" for Combinatorial Optimization
Abstract. Ant algorithms are usually derived from a stochastic modeling based on some specific probability laws. We consider in this paper a full deterministic model of "logis...
Rodolphe Charrier, Christine Bourjot, Franç...
TNN
2010
182views Management» more  TNN 2010»
14 years 11 months ago
A discrete-time neural network for optimization problems with hybrid constraints
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Huajin Tang, Haizhou Li, Zhang Yi