331 search results - page 42 / 67 » Learning Approaches to Wrapper Induction |
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AI
2011
Springer
14 years 6 months ago
2011
Springer
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
ICML
2010
IEEE
15 years 27 days 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 ...
KDD
2003
ACM
16 years 7 days ago
2003
ACM
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
JMLR
2010
14 years 6 months ago
2010
We study the standard retrieval task of ranking a fixed set of items given a previously unseen query and pose it as the half transductive ranking problem. The task is transductive...
ICML
2009
IEEE
16 years 19 days ago
2009
IEEE
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...