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JAIR
2006
111views more  JAIR 2006»
15 years 4 months ago
Learning in Real-Time Search: A Unifying Framework
Real-time search methods are suited for tasks in which the agent is interacting with an initially unknown environment in real time. In such simultaneous planning and learning prob...
Vadim Bulitko, Greg Lee
NPL
2006
90views more  NPL 2006»
15 years 4 months ago
Hierarchical Incremental Class Learning with Reduced Pattern Training
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...
Sheng Uei Guan, Chunyu Bao, Ru-Tian Sun
IJIM
2007
174views more  IJIM 2007»
15 years 4 months ago
Contextual Mobile Learning: A Step Further to Mastering Professional Appliances
—In this paper we describe our approach whose objective is to apply MOCOCO concepts to e-learning. After a short presentation of MOCOCO (Mobility, COoperation, Contextua-lisation...
Bertrand T. David, René Chalon, Olivier Cha...
IJDE
2002
66views more  IJDE 2002»
15 years 4 months ago
A Lessons Learned Repository for Computer Forensics
The Law Enforcement community possesses a large, but informal, community memory with respect to digital forensics. Large, because the experiences of every forensics technician and...
Warren Harrison, George Heuston, Mark Morrissey, D...
TSE
2002
133views more  TSE 2002»
15 years 4 months ago
Quality, Productivity, and Learning in Framework-Based Development: An Exploratory Case Study
This paper presents an empirical study in an industrial context on the production of software using a framework. Frameworks are semicomplete applications, usually implemented as a ...
Maurizio Morisio, Daniele Romano, Ioannis Stamelos