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» Two Approaches to Merging Knowledge Bases
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106
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ECML
2005
Springer
15 years 6 months ago
Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to Another
We present a method for transferring knowledge learned in one task to a related task. Our problem solvers employ reinforcement learning to acquire a model for one task. We then tra...
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richa...
94
Voted
IJET
2008
108views more  IJET 2008»
15 years 16 days ago
Moving towards a Fully Automatic Knowledge Assessment Tool
Information about a student's level or state of knowledge is a key aspect for efficient, personalized learning activities. E-learning systems gain such information in two ways...
Christian Guetl
121
Voted
AOSD
2009
ACM
15 years 7 months ago
Dependent advice: a general approach to optimizing history-based aspects
Many aspects for runtime monitoring are history-based: they contain pieces of advice that execute conditionally, based on the observed execution history. History-based aspects are...
Eric Bodden, Feng Chen, Grigore Rosu
IRI
2007
IEEE
15 years 6 months ago
Question Driven Semantics Interpretation for Collaborative Knowledge Engineering and Ontology Reuse
Ontology integration, alignment, and reuse are at the heart of Semantic Web vision. The alignment between two ontologies can be achieved easily provided both share the same axioma...
Khalid Latif, Edgar Weippl, A. Min Tjoa
JODS
2006
131views Data Mining» more  JODS 2006»
15 years 15 days ago
Integrating and Exchanging XML Data Using Ontologies
While providing a uniform syntax and a semistructured data model, XML does not express semantics but only structure such as nesting information. In this paper, we consider the prob...
Huiyong Xiao, Isabel F. Cruz