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AI
2000
Springer
13 years 8 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
ACCV
2006
Springer
14 years 17 days ago
Complex Activity Representation and Recognition by Extended Stochastic Grammar
Stochastic grammar has been used in many video analysis and event recognition applications as an efficient model to represent large-scale video activity. However, in previous works...
Zhang Zhang, Kaiqi Huang, Tieniu Tan
ICDM
2006
IEEE
214views Data Mining» more  ICDM 2006»
14 years 2 months ago
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently however, we have been approached by Texas Commiss...
Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, X...
ACL
2006
13 years 10 months ago
The Benefit of Stochastic PP Attachment to a Rule-Based Parser
To study PP attachment disambiguation as a benchmark for empirical methods in natural language processing it has often been reduced to a binary decision problem (between verb or n...
Kilian A. Foth, Wolfgang Menzel
ICCAD
2002
IEEE
149views Hardware» more  ICCAD 2002»
14 years 5 months ago
Battery-aware power management based on Markovian decision processes
- This paper addresses the problem of maximizing capacity utilization of the battery power source in a portable electronic system under latency and loss rate constraints. First, a ...
Peng Rong, Massoud Pedram