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» Label Ranking Methods based on the Plackett-Luce Model
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108
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GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 7 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
221
Voted
ROCAI
2004
Springer
15 years 7 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
15 years 2 months ago
Reachability analysis for a class of Petri nets
In this paper, we study the reachability problem for the class of (strictly) monotone Petri nets that we define based on algebraic conditions. More specifically, given a (strictly)...
Yu Ru, Christoforos N. Hadjicostis
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
15 years 8 months ago
Document-Word Co-regularization for Semi-supervised Sentiment Analysis
The goal of sentiment prediction is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. One can pose sentim...
Vikas Sindhwani, Prem Melville
176
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PAMI
2007
186views more  PAMI 2007»
15 years 1 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little