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CP
2009
Springer
14 years 6 months ago
Minimising Decision Tree Size as Combinatorial Optimisation
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
Christian Bessiere, Emmanuel Hebrard, Barry O'Sull...
NIPS
1992
13 years 7 months ago
Hidden Markov Model} Induction by Bayesian Model Merging
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
Andreas Stolcke, Stephen M. Omohundro
ACL
2000
13 years 7 months ago
Minimally Supervised Morphological Analysis by Multimodal Alignment
This paper presents a corpus-based algorithm capable of inducing inflectional morphological analyses of both regular and highly irregular forms (such as broughtbring) from distrib...
David Yarowsky, Richard Wicentowski
ICASSP
2008
IEEE
14 years 7 days ago
Robust multiuser detection based on probability constrained optimization of the MMSE receiver
The performance of multiuser detection (MUD) algorithms for codedivision multiple-access (CDMA) systems depends on the accuracy of channel estimates. Such estimates are typically ...
Sergiy A. Vorobyov
ECCV
2010
Springer
13 years 9 months ago
A Novel Parameter Estimation Algorithm for the Multivariate t-Distribution and Its Application to Computer
Abstract. We present a novel algorithm for approximating the parameters of a multivariate t-distribution. At the expense of a slightly decreased accuracy in the estimates, the prop...