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ACL
2010
13 years 6 months ago
Dynamic Programming for Linear-Time Incremental Parsing
Incremental parsing techniques such as shift-reduce have gained popularity thanks to their efficiency, but there remains a major problem: the search is greedy and only explores a ...
Liang Huang, Kenji Sagae
ILP
2007
Springer
14 years 2 months ago
Relational Macros for Transfer in Reinforcement Learning
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richa...
ICMLA
2007
13 years 9 months ago
Learning to evaluate conditional partial plans
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Slawomir Nowaczyk, Jacek Malec
RAS
2008
112views more  RAS 2008»
13 years 7 months ago
Learning and generalising semantic knowledge from object scenes
The robot described in this paper learns words that relate to objects and their attributes and also learns concepts, which may be recursive, that involve relationships between sev...
Claire D'Este, Claude Sammut
ISESE
2003
IEEE
14 years 1 months ago
Building Pair Programming Knowledge through a Family of Experiments
Pair programming is a practice in which two programmers work collaboratively at one computer on the same design, algorithm, code, or test. Pair programming is becoming increasingl...
Laurie A. Williams, Charlie McDowell, Nachiappan N...