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» Bayesian Generalized Kernel Models
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PODC
2010
ACM
14 years 2 months ago
Bayesian ignorance
We quantify the effect of Bayesian ignorance by comparing the social cost obtained in a Bayesian game by agents with local views to the expected social cost of agents having glob...
Noga Alon, Yuval Emek, Michal Feldman, Moshe Tenne...
NIPS
1997
14 years 8 days ago
Generalized Prioritized Sweeping
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
David Andre, Nir Friedman, Ronald Parr
UAI
2004
14 years 9 days ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
FPL
2003
Springer
95views Hardware» more  FPL 2003»
14 years 4 months ago
A Model for Hardware Realization of Kernel Loops
Abstract. Hardware realization of kernel loops holds the promise of accelerating the overall application performance and is therefore an important part of the synthesis process. In...
Jirong Liao, Weng-Fai Wong, Tulika Mitra
WWW
2007
ACM
14 years 11 months ago
Bayesian network based sentence retrieval model
This paper makes an intensive investigation of the application of Bayesian network in sentence retrieval and introduces three Bayesian network based sentence retrieval models with...
Keke Cai, Jiajun Bu, Chun Chen, Kangmiao Liu, Wei ...