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AAAI
1994
13 years 10 months ago
Learning Explanation-Based Search Control Rules for Partial Order Planning
This paper presents snlp+ebl, the first implementation of explanation based learning techniques for a partial order planner. We describe the basic learning framework of snlp+ebl, ...
Suresh Katukam, Subbarao Kambhampati
IJCAI
2001
13 years 10 months ago
Robot Weightlifting By Direct Policy Search
This paper describes a method for structuring a robot motor learning task. By designing a suitably parameterized policy, we show that a simple search algorithm, along with biologi...
Michael T. Rosenstein, Andrew G. Barto
CVPR
2012
IEEE
11 years 11 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
ECTEL
2007
Springer
14 years 3 months ago
Exploiting Preference Queries for Searching Learning Resources
While the growing number of learning resources increases the choice for learners, it also makes it more and more difficult to find suitable courses. Thus, improved search capabili...
Fabian Abel, Eelco Herder, Philipp Kärger, Da...
JSW
2006
76views more  JSW 2006»
13 years 8 months ago
Variable Neighbourhood Search for Job Shop Scheduling Problems
Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for problem solving in which a systematic change of neighbourhood within a local search is carried...
Mehmet Sevkli, Mehmet Emin Aydin