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» Likelihood Computations Using Value Abstraction
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UAI
2000
13 years 6 months ago
Likelihood Computations Using Value Abstraction
Nir Friedman, Dan Geiger, Noam Lotner
AVBPA
2005
Springer
228views Biometrics» more  AVBPA 2005»
13 years 11 months ago
Between-Source Modelling for Likelihood Ratio Computation in Forensic Biometric Recognition
Abstract. In this paper, the use of biometric systems in forensic applications is reviewed. Main differences between the aim of commercial biometric systems and forensic reporting...
Daniel Ramos-Castro, Joaquin Gonzalez-Rodriguez, C...
JACM
2006
99views more  JACM 2006»
13 years 5 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
13 years 12 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
RECOMB
2008
Springer
14 years 5 months ago
Accurate Computation of Likelihoods in the Coalescent with Recombination Via Parsimony
Understanding the variation of recombination rates across a given genome is crucial for disease gene mapping and for detecting signatures of selection, to name just a couple of app...
Jotun Hein, Rune B. Lyngsø, Yun S. Song