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ENGL
2007
75views more  ENGL 2007»
15 years 6 months ago
Uncertainty Modeling for Expensive Functions: A Rank Transformation Approach
An uncertainty model for an expensive function greatly improves the effectiveness of a design decision based on the use of a less accurate function. In this paper, we propose a met...
J. Umakant, K. Sudhakar, P. M. Mujumdar, C. Raghav...
ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
16 years 1 months ago
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
Masashi Sugiyama, Hirotaka Hachiya, Christopher To...
MST
2006
120views more  MST 2006»
15 years 6 months ago
Exploiting Regularities for Boolean Function Synthesis
The "regularity" of a Boolean function can be exploited for decreasing its minimization time. It has already been shown that the notion of autosymmetry is a valid measure...
Anna Bernasconi, Valentina Ciriani, Fabrizio Lucci...
ICML
2007
IEEE
16 years 7 months ago
Automatic shaping and decomposition of reward functions
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Bhaskara Marthi
ICASSP
2007
IEEE
16 years 1 months ago
Statistical Analysis of the Global Geodesic Function for 3D Object Classification
This paper presents a novel classification strategy for 3D objects. Our technique is based on using a Global Geodesic Function to intrinsically describe the surface ofan object. T...
Djamila Aouada, Shuo Feng, Hamid Krim