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JMLR
2010
162views more  JMLR 2010»
13 years 2 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
CORR
2000
Springer
99views Education» more  CORR 2000»
13 years 7 months ago
Adaptive simulated annealing (ASA): Lessons learned
Adaptive simulated annealing (ASA) is a global optimization algorithm based on an associated proof that the parameter space can be sampled much more efficiently than by using othe...
Lester Ingber
AAAI
2008
13 years 10 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
SCA
2007
13 years 10 months ago
Time-critical distributed contact for 6-DoF haptic rendering of adaptively sampled reduced deformable models
Real-time evaluation of distributed contact forces for rigid or deformable 3D objects is important for providing multi-sensory feedback in emerging real-time applications, such as...
Jernej Barbic, Doug L. James
ASPLOS
2006
ACM
13 years 11 months ago
Efficiently exploring architectural design spaces via predictive modeling
Architects use cycle-by-cycle simulation to evaluate design choices and understand tradeoffs and interactions among design parameters. Efficiently exploring exponential-size desig...
Engin Ipek, Sally A. McKee, Rich Caruana, Bronis R...