3976 search results - page 233 / 796 » Machine Learning in User Modeling |
155
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Given a model family and a set of unlabeled examples, one could either label specific examples or state general constraints--both provide information about the desired model. In g...
158
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
194
Voted
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Probabilistic modelling of text data in the bagof-words representation has been dominated by directed graphical models such as pLSI, LDA, NMF, and discrete PCA. Recently, state of...
153
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
191
Voted
ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...