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102
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NIPS
2004
15 years 1 months ago
Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
Liam Paninski
89
Voted
HICSS
1994
IEEE
149views Biometrics» more  HICSS 1994»
15 years 3 months ago
Stochastic Problem Solving by Local Computation Based on Self-Organization Paradigm
We are developing a new problem-solving methodology based on a self-organization paradigm. To realize our future goal of self-organizing computational systems, we have to study co...
Yasusi Kanada, Masao Hirokawa
118
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CORR
2011
Springer
230views Education» more  CORR 2011»
14 years 6 months ago
Computational Rationalization: The Inverse Equilibrium Problem
Modeling the behavior of imperfect agents from a small number of observations is a difficult, but important task. In the singleagent decision-theoretic setting, inverse optimal co...
Kevin Waugh, Brian Ziebart, J. Andrew Bagnell
114
Voted
WIOPT
2011
IEEE
14 years 3 months ago
Network utility maximization over partially observable Markovian channels
Abstract—This paper considers maximizing throughput utility in a multi-user network with partially observable Markov ON/OFF channels. Instantaneous channel states are never known...
Chih-Ping Li, Michael J. Neely
IM
2007
15 years 1 months ago
Business-Driven Optimization of Policy-Based Management solutions
— We consider whether the off-line compilation of a set of Service Level Agreements (SLAs) into low-level management policies can lead to the runtime maximization of the overall ...
Issam Aib, Raouf Boutaba