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NIPS
2004
15 years 6 months ago
The Convergence of Contrastive Divergences
This paper analyses the Contrastive Divergence algorithm for learning statistical parameters. We relate the algorithm to the stochastic approximation literature. This enables us t...
Alan L. Yuille
IJCAI
2003
15 years 6 months ago
Spaces of Theories with Ideal Refinement Operators
Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, ...
ECIS
2000
15 years 6 months ago
ERP Systems: Facilitating or Confounding Factors in Corporate Telecommunications Mergers
: This paper presents preliminary findings of an research project in which the research partners, academics and a telecommunication labour union, are attempting to understand, lear...
Duane P. Truex, Ojelanki K. Ngwenyama
JMLR
2007
87views more  JMLR 2007»
15 years 4 months ago
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians
We show that, given data from a mixture of k well-separated spherical Gaussians in Rd, a simple two-round variant of EM will, with high probability, learn the parameters of the Ga...
Sanjoy Dasgupta, Leonard J. Schulman
ACL
2009
15 years 2 months ago
Predicting Unknown Time Arguments based on Cross-Event Propagation
Many events in news articles don't include time arguments. This paper describes two methods, one based on rules and the other based on statistical learning, to predict the un...
Prashant Gupta, Heng Ji