285 search results - page 2 / 57 » Learning adaptation knowledge to improve case-based reasonin... |
ICCBR
2009
Springer
15 years 4 months ago
2009
Springer
Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performanc...
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EWCBR
2004
Springer
15 years 2 months ago
2004
Springer
By design, Case-Based Reasoning (CBR) systems do not need deep general knowledge. In contrast to (rule-based) expert systems, CBR systems can already be used with just some initial...
ICCBR
2001
Springer
15 years 1 months ago
2001
Springer
It is useful for an intelligent software agent to be able to adapt to new demands from an environment. Such adaptation can be viewed as a redesign problem; an agent has some origin...
EWCBR
2004
Springer
15 years 2 months ago
2004
Springer
Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in different areas. The performance of CBR systems depends on several factor...
EWCBR
2008
Springer
14 years 11 months ago
2008
Springer
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...