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NIPS
2004
13 years 11 months ago
Beat Tracking the Graphical Model Way
We present a graphical model for beat tracking in recorded music. Using a probabilistic graphical model allows us to incorporate local information and global smoothness constraint...
Dustin Lang, Nando de Freitas
ICML
2004
IEEE
14 years 10 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan
BMCBI
2006
121views more  BMCBI 2006»
13 years 10 months ago
Splice site identification using probabilistic parameters and SVM classification
Background: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and ...
A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halg...
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 10 months ago
Rational stochastic languages
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
François Denis, Yann Esposito
FLAIRS
2001
13 years 11 months ago
Probabilistic Plan Recognition for Hostile Agents
This paper presents a probabilistic and abductive theory of plan recognition that handles agents that are actively hostile to the inference of their plans. This focus violates a p...
Christopher W. Geib, Robert P. Goldman