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ICASSP
2008
IEEE
15 years 9 months ago
A new Particle Filtering algorithm with structurally optimal importance function
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
Boujemaa Ait-El-Fquih, François Desbouvries
CDC
2008
IEEE
137views Control Systems» more  CDC 2008»
15 years 9 months ago
An approximate dynamic programming approach to probabilistic reachability for stochastic hybrid systems
— This paper addresses the computational overhead involved in probabilistic reachability computations for a general class of controlled stochastic hybrid systems. An approximate ...
Alessandro Abate, Maria Prandini, John Lygeros, Sh...
ML
2002
ACM
143views Machine Learning» more  ML 2002»
15 years 2 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
116
Voted
SIGMOD
2005
ACM
77views Database» more  SIGMOD 2005»
16 years 2 months ago
On Joining and Caching Stochastic Streams
We consider the problem of joining data streams using limited cache memory, with the goal of producing as many result tuples as possible from the cache. Many cache replacement heu...
Jun Yang 0001, Junyi Xie, Yuguo Chen
132
Voted
COLT
2010
Springer
15 years 17 days ago
An Asymptotically Optimal Bandit Algorithm for Bounded Support Models
Multiarmed bandit problem is a typical example of a dilemma between exploration and exploitation in reinforcement learning. This problem is expressed as a model of a gambler playi...
Junya Honda, Akimichi Takemura