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JMLR
2006
108views more  JMLR 2006»
13 years 7 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...
UAI
2004
13 years 8 months ago
MOB-ESP and other Improvements in Probability Estimation
A key prerequisite to optimal reasoning under uncertainty in intelligent systems is to start with good class probability estimates. This paper improves on the current best probabi...
Rodney Nielsen
JSAC
2006
96views more  JSAC 2006»
13 years 7 months ago
Price-based distributed algorithms for rate-reliability tradeoff in network utility maximization
Abstract--The current framework of network utility maximization for rate allocation and its price-based algorithms assumes that each link provides a fixed-size transmission "p...
Jang-Won Lee, Mung Chiang, A. Robert Calderbank
ICTAI
2000
IEEE
13 years 11 months ago
Building efficient partial plans using Markov decision processes
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Pierre Laroche
QUESTA
2010
112views more  QUESTA 2010»
13 years 5 months ago
Admission control for a multi-server queue with abandonment
In a M/M/N+M queue, when there are many customers waiting, it may be preferable to reject a new arrival rather than risk that arrival later abandoning without receiving service. O...
Yasar Levent Koçaga, Amy R. Ward