424 search results - page 24 / 85 » Boosted sampling: approximation algorithms for stochastic op... |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
IOR
2010
13 years 4 months ago
2010
Reliable risk measurement is a key problem for financial institutions and regulatory authorities. The current industry standard Value-at-Risk has several deficiencies. Improved ri...
AUSAI
2004
Springer
14 years 28 days ago
2004
Springer
We describe an Ant Colony Optimization (ACO) algorithm, ANT-MPE, for the most probable explanation problem in Bayesian network inference. After tuning its parameters settings, we c...
ENVSOFT
2007
13 years 7 months ago
2007
Groundwater long-term monitoring (LTM) is required to assess the performance of groundwater remediation and human being health risk at post-closure sites where groundwater contami...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...