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» Learning in Multi-Agent Systems
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78
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HICSS
2007
IEEE
107views Biometrics» more  HICSS 2007»
15 years 11 months ago
An Abstract Transcript Notation for Analyzing Interactional Construction of Meaning in Online Learning
Daniel D. Suthers, Nathan Dwyer, Ravikiran Vatrapu...
ICEIS
2005
IEEE
15 years 10 months ago
A Bayesian Networks Structural Learning Algorithm Based on a Multiexpert Approach
Francesco Colace, Massimo De Santo, Mario Vento, P...
133
Voted
ICSE
1998
IEEE-ACM
15 years 9 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
164
Voted
AICT
2006
IEEE
130views Communications» more  AICT 2006»
15 years 7 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 6 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