3607 search results - page 512 / 722 » Learning with structured sparsity |
192
Voted
ICSE
1999
IEEE-ACM
15 years 9 months ago
1999
IEEE-ACM
This paper describes how we have extended a module structure of the Smalltalk LearningWorks to provide a programming environment deigned for very large scale technology transfer. ...
168
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NIPS
2004
15 years 6 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
154
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IJCAI
2003
15 years 6 months ago
2003
Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
174
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CORR
2006
Springer
15 years 5 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
154
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JMLR
2008
15 years 5 months ago
2008
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...