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GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 10 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
ESWS
2008
Springer
15 years 8 months ago
Hybrid Search: Effectively Combining Keywords and Semantic Searches
This paper describes hybrid search, a search method supporting both document and knowledge retrieval via the flexible combination of ontologybased search and keyword-based matching...
Ravish Bhagdev, Sam Chapman, Fabio Ciravegna, Vita...
AIIDE
2006
15 years 8 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
TREC
2003
15 years 8 months ago
Identifying Gene Function Descriptions by Probability-based Sentence Selection
This paper proposes an approach to the secondary task in the TREC Genomics Track. We regard the task as identification of the sentences describing gene functions (i.e., GeneRIFs)...
Kazuhiro Seki, Nihar Sheth, Javed Mostafa
DKE
2011
251views Education» more  DKE 2011»
15 years 1 months ago
Generating operation specifications from UML class diagrams: A model transformation approach
One of the more tedious and complex tasks during the specification of conceptual schemas (CSs) is modeling the operations that define the system behavior. This paper aims to simpl...
Manoli Albert, Jordi Cabot, Cristina Gómez,...