394 search results - page 27 / 79 » A Study of Empirical Learning for an Involved Problem |
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Most text categorization methods require text content of documents that is often difficult to obtain. We consider "Collaborative Text Categorization", where each document...
AAAI
2008
15 years 2 months ago
2008
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
COLT
1998
Springer
15 years 4 months ago
1998
Springer
Empirical studies of multitask learning provide some evidence that the performance of a learning system on its intended targets improves by presenting to the learning system relat...
102
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NIPS
2007
15 years 1 months ago
2007
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
76
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SAT
2009
Springer
15 years 6 months ago
2009
Springer
The concept of backdoor variables has been introduced as a structural property of combinatorial problems that provides insight into the surprising ability of modern satisfiability...