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» A New Way to Introduce Knowledge into Reinforcement Learning
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AUSAI
2003
Springer
15 years 5 months ago
Weighted MCRDR: Deriving Information about Relationships between Classifications in MCRDR
Multiple Classification Ripple Down Rules (MCRDR) is a knowledge acquisition technique that produces representations, or knowledge maps, of a human expert’s knowledge of a partic...
Richard Dazeley, Byeong Ho Kang
AH
2008
Springer
15 years 1 months ago
Does 'Notice' Prompt Noticing? Raising Awareness in Language Learning with an Open Learner Model
Open learner models (OLM) are learner models that are accessible to the learner they represent. Many examples now exist, often with the aim of prompting learner reflection on their...
Gheida Shahrour, Susan Bull
APSEC
2007
IEEE
15 years 6 months ago
Modeling and Learning Interaction-based Accidents for Safety-Critical Software Systems
Analyzing accidents is a vital exercise in the development of safety-critical software systems to prevent past accidents from reoccurring in the future. Current practices such as ...
Tariq Mahmood, Edmund Kazmierczak, Tim Kelly, Denn...
ICML
2005
IEEE
16 years 18 days ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
WCRE
2002
IEEE
15 years 4 months ago
Knowledge-Based Library Re-Factoring for an Open Source Project
Software miniaturization is a form of software refactoring focused on reducing an application to the bare bone. Porting an application on a hand-held device is very likely to requ...
Massimiliano Di Penta, Markus Neteler, Giuliano An...