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SDM
2010
SIAM
151views Data Mining» more  SDM 2010»
15 years 7 months ago
Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs
The high computational cost of nonlinear support vector machines has limited their usability for large-scale problems. We propose two novel stochastic algorithms to tackle this pr...
Hua Ouyang, Alexander Gray
AAAI
2004
15 years 7 months ago
Stochastic Local Search for POMDP Controllers
The search for finite-state controllers for partially observable Markov decision processes (POMDPs) is often based on approaches like gradient ascent, attractive because of their ...
Darius Braziunas, Craig Boutilier
AAAI
2000
15 years 7 months ago
Solving Combinatorial Auctions Using Stochastic Local Search
Combinatorial auctions (CAs) have emerged as an important model in economics and show promise as a useful tool for tackling resource allocation in AI. Unfortunately, winner determ...
Holger H. Hoos, Craig Boutilier
IEEEHPCS
2010
15 years 4 months ago
An FPGA design for the stochastic Greenberg-Hastings cellular automata
The stochastic Greenberg-Hastings cellular automaton is a model that mimics the propagation of reaction-diffusion waves in active media. Notably, this model undergoes a phase tran...
Nikolaos Vlassopoulos, Nazim Fatès, Hugues ...
FLAIRS
2009
15 years 4 months ago
Dynamic Programming Approximations for Partially Observable Stochastic Games
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
Akshat Kumar, Shlomo Zilberstein