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» On-line Learning and the Metrical Task System Problem
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IAT
2009
IEEE
15 years 3 months ago
Confusion and Distance Metrics as Performance Criteria for Hierarchical Classification Spaces
When intelligent systems reason about complex problems with a large hierarchical classification space it is hard to evaluate system performance. For classification problems, differ...
Wilbert van Norden, Catholijn M. Jonker
GECCO
2004
Springer
150views Optimization» more  GECCO 2004»
15 years 5 months ago
Parameter Adaptation within Co-adaptive Learning Classifier Systems
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
Chung-Yuan Huang, Chuen-Tsai Sun
ICALT
2006
IEEE
15 years 5 months ago
Plagiarism in e-Learning Systems: Identifying and Solving the Problem for Practical Assignments
A big part of life long learning is the move from residential lectures to distance education. Distance education falls under the multi-modal policy of the teaching institution and...
Emil Marais, Ursula Minnaar, David Argles
ECAI
2000
Springer
15 years 4 months ago
Autonomous Environment and Task Adaptation for Robotic Agents
This paper investigates the problem of improving the performance of general state-of-the-art robot control systems by autonomously adapting them to specific tasks and environments...
Michael Beetz, Thorsten Belker
DAGSTUHL
2007
15 years 1 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...