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SBIA
2004
Springer
14 years 2 months ago
Heuristically Accelerated Q-Learning: A New Approach to Speed Up Reinforcement Learning
This work presents a new algorithm, called Heuristically Accelerated Q–Learning (HAQL), that allows the use of heuristics to speed up the well-known Reinforcement Learning algori...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
SETN
2004
Springer
14 years 2 months ago
Clustering XML Documents by Structure
This work explores the application of clustering methods for grouping structurally similar XML documents. Modeling the XML documents as rooted ordered labeled trees, we apply clust...
Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, T...
AIIA
2001
Springer
14 years 1 months ago
Wide Coverage Incremental Parsing by Learning Attachment Preferences
This paper presents a novel method for wide coverage parsing using an incremental strategy, which is psycholinguistically motivated. A recursive neural network is trained on treeba...
Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi,...
ECAI
2000
Springer
14 years 29 days ago
Enriching very large ontologies using the WWW
This paper explores the possibility to exploit text on the world wide web in order to enrich the concepts in existing ontologies. First, a method to retrieve documents from the WWW...
Eneko Agirre, Olatz Ansa, Eduard H. Hovy, David Ma...
AI
2010
Springer
14 years 20 days ago
Optimizing Advisor Network Size in a Personalized Trust-Modelling Framework for Multi-agent Systems
Abstract. This paper explores potential improvements to Zhang’s personalized trust approach for e-commerce, in particular examining means of optimizing the number of advisors tha...
Joshua Gorner