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ML
2012
ACM
385views Machine Learning» more  ML 2012»
12 years 5 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
UAI
2004
13 years 11 months ago
Factored Latent Analysis for far-field Tracking Data
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
Chris Stauffer
LREC
2010
173views Education» more  LREC 2010»
13 years 11 months ago
Heterogeneous Data Sources for Signed Language Analysis and Synthesis: The SignCom Project
This paper describes how heterogeneous data sources captured in the SignCom project may be used for the analysis and synthesis of French Sign Language (LSF) utterances. The captur...
Kyle Duarte, Sylvie Gibet
STACS
2005
Springer
14 years 3 months ago
Algorithmics in Exponential Time
Exponential algorithms, i.e. algorithms of complexity O(cn ) for some c > 1, seem to be unavoidable in the case of NP-complete problems (unless P=NP), especially if the problem ...
Uwe Schöning
SIGMOD
2004
ACM
147views Database» more  SIGMOD 2004»
14 years 10 months ago
Robust Query Processing through Progressive Optimization
Virtually every commercial query optimizer chooses the best plan for a query using a cost model that relies heavily on accurate cardinality estimation. Cardinality estimation erro...
Volker Markl, Vijayshankar Raman, David E. Simmen,...