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» Modelling Human Intelligence: A Learning Mechanism
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ICANN
2005
Springer
14 years 1 months ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
AI
2008
Springer
14 years 2 months ago
Using Unsupervised Learning for Network Alert Correlation
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
Reuben Smith, Nathalie Japkowicz, Maxwell Dondo, P...
PRIMA
2004
Springer
14 years 1 months ago
Modeling e-Procurement as Co-adaptive Matchmaking with Mutual Relevance Feedback
This paper proposes a new e-procurement model for a large number of buyers and sellers interacting via the Internet. The goal of e-procurement is to create a satisfactory match bet...
Reiko Hishiyama, Toru Ishida
GECCO
2010
Springer
200views Optimization» more  GECCO 2010»
14 years 23 days ago
Multivariate multi-model approach for globally multimodal problems
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...
Chung-Yao Chuang, Wen-Lian Hsu
COST
2007
Springer
118views Multimedia» more  COST 2007»
14 years 2 months ago
The Organization of a Neurocomputational Control Model for Articulatory Speech Synthesis
The organization of a computational control model of articulatory speech synthesis is outlined in this paper. The model is based on general principles of neurophysiology and cognit...
Bernd J. Kröger, Anja Lowit, Ralph Schnitker