481 search results - page 16 / 97 » Learning relational probability trees |
FLAIRS
2008
13 years 10 months ago
2008
Combining probability and first-order logic has been the subject of intensive research during the last ten years. The most well-known formalisms combining probability and some sub...
ICMLA
2009
13 years 5 months ago
2009
In structured prediction problems, outputs are not confined to binary labels; they are often complex objects such as sequences, trees, or alignments. Support Vector Machine (SVM) ...
ILP
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
We are interested in schema disruption behavior when chromosomes are structured as binary trees. We give the definition of the disruption probability dp(H) of a schema H, and also...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...