3607 search results - page 78 / 722 » Learning with structured sparsity |
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
JMLR
2012
11 years 10 months ago
2012
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
ECAI
2000
Springer
13 years 11 months ago
2000
Springer
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
AIED
2009
Springer
14 years 2 months ago
2009
Springer
This study, through the ontological engineering approach, aims at building a conceptual basis that encourages instructional designers in better understanding of learning/instructio...
AHS
2007
IEEE
13 years 10 months ago
2007
IEEE
Fault Tolerance is an increasing challenge for integrated circuits due to semiconductor technology scaling. This paper looks at how artificial evolution may be tuned to the creat...