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» Probabilistic Relational Models
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126
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NIPS
2001
15 years 5 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 5 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
126
Voted
COLING
2010
14 years 11 months ago
Interpreting Pointing Gestures and Spoken Requests - A Probabilistic, Salience-based Approach
We present a probabilistic, salience-based approach to the interpretation of pointing gestures together with spoken utterances. Our mechanism models dependencies between spatial a...
Ingrid Zukerman, Gideon Kowadlo, Patrick Ye
SIGSOFT
2005
ACM
16 years 4 months ago
Relational analysis of algebraic datatypes
We present a technique that enables the use of finite model finding to check the satisfiability of certain formulas whose intended models are infinite. Such formulas arise when us...
Viktor Kuncak, Daniel Jackson
GECCO
2009
Springer
101views Optimization» more  GECCO 2009»
15 years 10 months ago
Modeling UCS as a mixture of experts
We present a probabilistic formulation of UCS (a sUpervised Classifier System). UCS is shown to be a special case of mixture of experts where the experts are learned independentl...
Narayanan Unny Edakunni, Tim Kovacs, Gavin Brown, ...