843 search results - page 79 / 169 » Learning aspect models with partially labeled data |
131
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ICDM
2005
IEEE
15 years 9 months ago
2005
IEEE
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
157
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UAI
2004
15 years 5 months ago
2004
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
119
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CIKM
2009
Springer
15 years 10 months ago
2009
Springer
Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
153
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PPSWR
2005
Springer
15 years 9 months ago
2005
Springer
The CTTN-system is a computer program which provides advanced processing or temporal notions. The basic data structures of the CTTN-system are time points, crisp and fuzzy time int...
140
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COLT
1995
Springer
15 years 7 months ago
1995
Springer
We propose and analyze a distribution learning algorithm for a subclass of Acyclic Probabilistic Finite Automata (APFA). This subclass is characterized by a certain distinguishabi...