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» Using Random Forests in the Structured Language Model
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ACL
2010
14 years 7 months ago
Jointly Optimizing a Two-Step Conditional Random Field Model for Machine Transliteration and Its Fast Decoding Algorithm
This paper presents a joint optimization method of a two-step conditional random field (CRF) model for machine transliteration and a fast decoding algorithm for the proposed metho...
Dong Yang, Paul R. Dixon, Sadaoki Furui
IPPS
1997
IEEE
15 years 1 months ago
A Randomized Sorting Algorithm on the BSP model
We present a new randomized sorting algorithm on the Bulk-SynchronousParallel (BSP) model. The algorithm improves upon the parallel slack of previous algorithms to achieve optimal...
Alexandros V. Gerbessiotis, Constantinos J. Siniol...
74
Voted
CSDA
2010
118views more  CSDA 2010»
14 years 9 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola
65
Voted
CEC
2005
IEEE
15 years 3 months ago
Investigating the effect of random noise on the evolution of colour terms
Abstract- The effect of adding noise to an expressioninduction model of language evolution was investigated. The model consisted of a number of artificial people who were able to i...
Mike Dowman
BMCBI
2004
135views more  BMCBI 2004»
14 years 9 months ago
Information assessment on predicting protein-protein interactions
Background: Identifying protein-protein interactions is fundamental for understanding the molecular machinery of the cell. Proteome-wide studies of protein-protein interactions ar...
Nan Lin, Baolin Wu, Ronald Jansen, Mark Gerstein, ...