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» Learning Bounds for Domain Adaptation
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LWA
2007
13 years 11 months ago
Context-adaptation based on Ontologies and Spreading Activation
Ontologies and spreading activation are known terms within the scope of information retrieval. In this paper we introduce SPREADR, an integrated adaptation mechanism for web appli...
Tim Hussein, Daniel Westheide, Jürgen Ziegler
CHB
2011
183views more  CHB 2011»
13 years 1 months ago
Towards an ICT-based psychology: E-psychology
Cognitive science is the scientific domain which studies, analyses, simulates and infers for various aspects, functions and procedures of human mentality such as, thinking, logic, ...
Athanasios Drigas, Lefteris Koukianakis, Yannis Pa...
AGENTS
1999
Springer
14 years 2 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
FLAIRS
2006
13 years 11 months ago
Toward a Computational Model of Expert Tutoring: A First Report
We are exploring the differences between expert and less expert tutors with two goals: cognitive (what does tutoring tell us about learning) and applied (which features of tutorin...
Barbara Di Eugenio, Trina C. Kershaw, Xin Lu, Andr...
FGCS
2006
114views more  FGCS 2006»
13 years 10 months ago
A semantic approach to discovering learning services in grid-based collaborative systems
CSCL systems can benefit from using grids since they offer a common infrastructure enabling the access to an extended pool of resources that can provide supercomputing capabilitie...
Guillermo Vega-Gorgojo, Miguel L. Bote-Lorenzo, Ed...