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» Combining Simple Models to Approximate Complex Dynamics
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GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 4 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
ICRA
2007
IEEE
205views Robotics» more  ICRA 2007»
15 years 4 months ago
Marker-less Human Motion Estimation using Articulated Deformable Model
— This paper presents a novel whole body motion estimation method by fitting a deformable articulated model of the human body into the 3D reconstructed volume obtained from mult...
Koichi Ogawara, Xiaolu Li, Katsushi Ikeuchi
NIPS
2007
14 years 11 months ago
Distributed Inference for Latent Dirichlet Allocation
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...
UAI
2008
14 years 11 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau
IWQOS
2004
Springer
15 years 3 months ago
Provisioning servers in the application tier for e-commerce systems
Abstract— Server providers that support e-commerce applications as a service to multiple e–commerce websites traditionally use a tiered server architecture. This architecture i...
Daniel A. Villela, Prashant Pradhan, Dan Rubenstei...