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AIPS
2011
13 years 1 months ago
A Polynomial All Outcome Determinization for Probabilistic Planning
Most predominant approaches in probabilistic planning utilize techniques from the more thoroughly investigated field of classical planning by determinizing the problem at hand. I...
Thomas Keller, Patrick Eyerich
ACL
1990
13 years 11 months ago
Algorithms for Generation in Lambek Theorem Proving
We discuss algorithms for generation within the Lambek Theorem Proving Framework. Efficient algorithms for generation in this framework take a semantics-driven strategy. This stra...
Erik-Jan van der Linden, Guido Minnen
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 10 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
BMCBI
2005
89views more  BMCBI 2005»
13 years 9 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
TIT
2002
116views more  TIT 2002»
13 years 9 months ago
On delayed prediction of individual sequences
Prediction of individual sequences is investigated for cases in which the decision maker observes a delayed version of the sequence, or is forced to issue his/her predictions a nu...
Marcelo J. Weinberger, Erik Ordentlich