17543 search results - page 39 / 3509 » Stochastic Optimization Algorithms |
ALGORITHMICA
2010
14 years 12 months ago
2010
We investigate the algorithmic performance of Vickrey-Clarke-Groves mechanisms in the single item case. We provide a formal definition of a Vickrey algorithm for this framework, a...
IJCAI
2007
15 years 1 months ago
2007
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
ICDM
2010
IEEE
14 years 9 months ago
2010
IEEE
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
109
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FOCS
2005
IEEE
15 years 5 months ago
2005
IEEE
Robust optimization has traditionally focused on uncertainty in data and costs in optimization problems to formulate models whose solutions will be optimal in the worstcase among ...
115
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INFORMATICALT
2010
14 years 6 months ago
2010
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...