4128 search results - page 174 / 826 » Learning and using relational theories |
179
click to vote
AAAI
2008
15 years 8 months ago
2008
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
183
click to vote
ACL
2010
15 years 4 months ago
2010
Prior use of machine learning in genre classification used a list of labels as classification categories. However, genre classes are often organised into hierarchies, e.g., coveri...
200
click to vote
UAI
2008
15 years 7 months ago
2008
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
171
click to vote
ML
2008
ACM
15 years 6 months ago
2008
ACM
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
182
click to vote
ALT
1995
Springer
15 years 10 months ago
1995
Springer
This paper characterizes the polynomial time learnability of TPk, the class of collections of at most k rst-order terms. A collection in TPk de nes the union of the languages de n...