4128 search results - page 252 / 826 » Learning and using relational theories |
166
click to vote
ECML
1993
Springer
15 years 10 months ago
1993
Springer
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
264
click to vote
AIM
2011
14 years 10 months ago
2011
Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...
151
click to vote
ACL
2012
13 years 9 months ago
2012
We investigate the problem of ordering medical events in unstructured clinical narratives by learning to rank them based on their time of occurrence. We represent each medical eve...
182
click to vote
ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...
159
click to vote
CORR
2007
Springer
15 years 6 months ago
2007
Springer
We consider a new kind of interpretation over relational structures: finite sets interpretations. Those interpretations are defined by weak monadic second-order (WMSO) formulas w...