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» Learning in Multi-Agent Systems
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ICEIS
2005
IEEE
16 years 9 days ago
A Bayesian Networks Structural Learning Algorithm Based on a Multiexpert Approach
Francesco Colace, Massimo De Santo, Mario Vento, P...
ICSE
1998
IEEE-ACM
15 years 11 months ago
Software Requirements Negotiation: Some Lessons Learned
Negotiating requirements is one of the first steps in any software system life cycle, but its results have probably the most significant impact on the system's value. However...
Barry W. Boehm, Alexander Egyed
AICT
2006
IEEE
130views Communications» more  AICT 2006»
15 years 8 months ago
A Search Theoretical Approach to P2P Networks: Analysis of Learning
One of the main characteristics of the peer-to-peer systems is the highly dynamic nature of the users present in the system. In such a rapidly changing enviroment, end-user guaran...
Nazif Cihan Tas, Bedri Kamil Onur Tas
ICMLA
2008
15 years 8 months ago
Multi-stage Learning of Linear Algebra Algorithms
In evolving applications, there is a need for the dynamic selection of algorithms or algorithm parameters. Such selection is hardly ever governed by exact theory, so intelligent r...
Victor Eijkhout, Erika Fuentes