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AAAI
2006
15 years 7 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
NIPS
2004
15 years 7 months ago
Semi-supervised Learning by Entropy Minimization
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
Yves Grandvalet, Yoshua Bengio
UAI
2001
15 years 7 months ago
UCP-Networks: A Directed Graphical Representation of Conditional Utilities
We propose a directed graphical representation of utility functions, called UCP-networks, that combines aspects of two existing preference models: generalized additive models and ...
Craig Boutilier, Fahiem Bacchus, Ronen I. Brafman
TR
2008
117views more  TR 2008»
15 years 6 months ago
Redundancy Allocation for Series-Parallel Systems Using Integer Linear Programming
We consider the problem of maximizing the reliability of a series-parallel system given cost and weight constraints on the system. The number of components in each subsystem and th...
Alain Billionnet
JSAC
2007
73views more  JSAC 2007»
15 years 6 months ago
Optimal Wavelength Sharing Policies in OBS Networks Subject to QoS Constraints
— We consider the general problem of optimizing the performance of OBS networks with multiple traffic classes subject to strict (absolute) QoS constraints in terms of the end-to...
Li Yang, George N. Rouskas