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AAAI
2007
15 years 9 months ago
Modeling Contextual Factors of Click Rates
In this paper, we develop and evaluate several probabilistic models of user click-through behavior that are appropriate for modeling the click-through rates of items that are pres...
Hila Becker, Christopher Meek, David Maxwell Chick...
ICML
2010
IEEE
15 years 7 months ago
Label Ranking Methods based on the Plackett-Luce Model
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hül...
DFMA
2005
IEEE
152views Multimedia» more  DFMA 2005»
16 years 11 days ago
An Agent Based Meta-Model For Urban Mobility Modeling
Mobility study is composed by many research areas which one interests us : urban mobility. Urban movement study aims at looking and designing human displacements in an urban envir...
Nicolas Marilleau
ICML
2006
IEEE
16 years 7 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
NLPRS
2001
Springer
15 years 11 months ago
A Maximum Entropy Tagger with Unsupervised Hidden Markov Models
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
Jun'ichi Kazama, Yusuke Miyao, Jun-ichi Tsujii