3607 search results - page 391 / 722 » Learning with structured sparsity |
213
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TIP
2002
15 years 6 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
207
Voted
AH
2008
Springer
16 years 1 months ago
2008
Springer
The focus of my thesis is on the development of a multi-method framework for the validation of formal models (domain model, user model, and teaching model) for adaptive work-integr...
180
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ICIA
2007
15 years 9 months ago
2007
We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
178
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ACL
1994
15 years 8 months ago
1994
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
192
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JMLR
2006
15 years 6 months ago
2006
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...