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» Label Ranking Methods based on the Plackett-Luce Model
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GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 11 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
ROCAI
2004
Springer
15 years 11 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 7 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»
16 years 13 days 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
PAMI
2007
186views more  PAMI 2007»
15 years 5 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