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» On Learning Decision Trees with Large Output Domains
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ALGORITHMICA
1998
76views more  ALGORITHMICA 1998»
13 years 4 months ago
On Learning Decision Trees with Large Output Domains
Nader H. Bshouty, Christino Tamon, David K. Wilson
BMCBI
2007
154views more  BMCBI 2007»
13 years 4 months ago
Inferring biological networks with output kernel trees
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...
Pierre Geurts, Nizar Touleimat, Marie Dutreix, Flo...
JAIR
2011
134views more  JAIR 2011»
12 years 12 months ago
Scaling up Heuristic Planning with Relational Decision Trees
Current evaluation functions for heuristic planning are expensive to compute. In numerous planning problems these functions provide good guidance to the solution, so they are wort...
Tomás de la Rosa, Sergio Jiménez, Ra...
AIPS
2004
13 years 6 months ago
Learning Domain-Specific Control Knowledge from Random Walks
We describe and evaluate a system for learning domainspecific control knowledge. In particular, given a planning domain, the goal is to output a control policy that performs well ...
Alan Fern, Sung Wook Yoon, Robert Givan
KBSE
2000
IEEE
13 years 9 months ago
Practical Large Scale What-If Queries: Case Studies with Software Risk Assessment
When a lack of data inhibits decision making, large scale what-if queries can be conducted over the uncertain parameter ranges. Such what-if queries can generate an overwhelming a...
Tim Menzies, Erik Sinsel