704 search results - page 8 / 141 » Learning the Ideal Evaluation Function |
INCDM
2010
Springer
13 years 8 months ago
2010
Springer
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
ASIACRYPT
2009
Springer
14 years 4 months ago
2009
Springer
The design of cryptographic hash functions is a very complex and failure-prone process. For this reason, this paper puts forward a completely modular and fault-tolerant approach to...
PKDD
2004
Springer
14 years 3 months ago
2004
Springer
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...
ICML
2000
IEEE
14 years 10 months ago
2000
IEEE
Eligibility traces have been shown to speed reinforcement learning, to make it more robust to hidden states, and to provide a link between Monte Carlo and temporal-difference meth...
INFORMATICALT
2006
13 years 9 months ago
2006
The paper analyses the problem of ranking accuracy in multiple criteria decision-making (MCDM) methods. The methodology for measuring the accuracy of determining the relative signi...