1183 search results - page 180 / 237 » Learning Process Models with Missing Data |
146
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FCSC
2010
14 years 10 months ago
2010
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
148
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CGF
2010
15 years 1 months ago
2010
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
127
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KDD
2005
ACM
16 years 1 months ago
2005
ACM
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
147
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EMNLP
2011
14 years 1 months ago
2011
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
ICPR
2010
IEEE
14 years 11 months ago
2010
IEEE
Abstract--In this paper we propose a new multi-view semisupervised learning algorithm called Local Co-Training (LCT). The proposed algorithm employs a set of local models with vect...