667 search results - page 19 / 134 » Learning to Model Sequences Generated by Switching Distribut... |
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
Generative models of pattern individuality attempt to learn the distribution of observed quantitative features to determine the probability of two random patterns being the same. ...
ECML
2005
Springer
15 years 5 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
113
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ISAMI
2010
14 years 9 months ago
2010
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
113
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ICML
2004
IEEE
16 years 15 days ago
2004
IEEE
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
KDD
2010
ACM
15 years 3 months ago
2010
ACM
In this paper, we propose a new probabilistic generative model, called Topic-Perspective Model, for simulating the generation process of social annotations. Different from other g...