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ICANN
2010
Springer
15 years 3 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
MICCAI
2008
Springer
16 years 3 months ago
A Bayesian Approach for Liver Analysis: Algorithm and Validation Study
Abstract. We present a new method for the simultaneous, nearly automatic segmentation of liver contours, vessels, and metastatic lesions from abdominal CTA scans. The method repeat...
Moti Freiman, Ofer Eliassaf, Yoav Taieb, Leo Jo...
CSDA
2006
98views more  CSDA 2006»
15 years 2 months ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen
SAT
2010
Springer
165views Hardware» more  SAT 2010»
15 years 19 days ago
An Empirical Study of Optimal Noise and Runtime Distributions in Local Search
This paper presents a detailed empirical study of local search for Boolean satisfiability (SAT), highlighting several interesting properties, some of which were previously unknown...
Lukas Kroc, Ashish Sabharwal, Bart Selman
CC
2010
Springer
150views System Software» more  CC 2010»
15 years 9 months ago
Practical Extensions to the IFDS Algorithm
Abstract. This paper presents four extensions to the Interprocedural Finite Distributive Subset (IFDS) algorithm that make it applicable to a wider class of analysis problems. IFDS...
Nomair A. Naeem, Ondrej Lhoták, Jonathan Ro...