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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 6 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
CG
2008
Springer
15 years 1 months ago
Whole-History Rating: A Bayesian Rating System for Players of Time-Varying Strength
Whole-History Rating (WHR) is a new method to estimate the time-varying strengths of players involved in paired comparisons. Like many variations of the Elo rating system, the whol...
Rémi Coulom
EMNLP
2008
15 years 1 months ago
Two Languages are Better than One (for Syntactic Parsing)
We show that jointly parsing a bitext can substantially improve parse quality on both sides. In a maximum entropy bitext parsing model, we define a distribution over source trees,...
David Burkett, Dan Klein
ICASSP
2011
IEEE
14 years 3 months ago
A robust clock synchronization algorithm for wireless sensor networks
Recently, the maximum likelihood estimator (MLE) and Cramer-Rao Lower Bound (CRLB) were proposed with the goal of maximizing and assessing the synchronization accuracy in wireless...
Jang-Sub Kim, Jaehan Lee, Erchin Serpedin, Khalid ...
SIAMMAX
2010
145views more  SIAMMAX 2010»
14 years 6 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu