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» Optimal Monte Carlo Algorithms
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AUSAI
2006
Springer
14 years 1 months ago
Learning Hybrid Bayesian Networks by MML
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb
SODA
2008
ACM
110views Algorithms» more  SODA 2008»
13 years 11 months ago
Fast asynchronous byzantine agreement and leader election with full information
We resolve two long-standing open problems in distributed computation by describing polylogarithmic protocols for Byzantine agreement and leader election in the asynchronous full ...
Bruce M. Kapron, David Kempe, Valerie King, Jared ...
DAGSTUHL
2004
13 years 11 months ago
On the Complexity of Parabolic Initial Value Problems with Variable Drift
We study the intrinsic difficulty of solving linear parabolic initial value problems numerically at a single point. We present a worst case analysis for deterministic as well as fo...
Knut Petras, Klaus Ritter
NCA
2006
IEEE
13 years 10 months ago
Open-loop regulation and tracking control based on a genealogical decision tree
The goal of this paper is to design a new control algorithm for open-loop control of complex systems. This control approach is based on a genealogical decision tree for both regula...
Kaddour Najim, Enso Ikonen, P. Del Moral
NAACL
2010
13 years 8 months ago
Variational Inference for Adaptor Grammars
Adaptor grammars extend probabilistic context-free grammars to define prior distributions over trees with "rich get richer" dynamics. Inference for adaptor grammars seek...
Shay B. Cohen, David M. Blei, Noah A. Smith