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CIMCA
2005
IEEE
15 years 6 months ago
An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
102
Voted
IDEAL
2004
Springer
15 years 6 months ago
Detecting Worm Propagation Using Traffic Concentration Analysis and Inductive Learning
As a vast number of services have been flooding into the Internet, it is more likely for the Internet resources to be exposed to various hacking activities such as Code Red and SQL...
Sanguk Noh, Cheolho Lee, Keywon Ryu, Kyunghee Choi...
86
Voted
AOSE
2004
Springer
15 years 6 months ago
A Metamodel for Agents, Roles, and Groups
Societies need patterned behavior to exist. Large-scale agent societies may contain a diversity of agents, each with differing abilities and functionalities. When such an agent sys...
James Odell, Marian H. Nodine, Renato Levy
IAT
2006
IEEE
15 years 6 months ago
A Labeled Graph Approach to Analyze Organizational Performance
Determining the performance of an organization is a must for both human and multi-agent organizations. The performance analysis enables organizations to uncover unexpected propert...
Mark Hoogendoorn, Jan Treur, Pinar Yolum
ATAL
2007
Springer
15 years 6 months ago
A computational characterization of multiagent games with fallacious rewards
Agents engaged in noncooperative interaction may seek to achieve a Nash equilibrium; this requires that agents be aware of others’ rewards. Misinformation about rewards leads to...
Ariel D. Procaccia, Jeffrey S. Rosenschein