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JMLR
2008
188views more  JMLR 2008»
13 years 7 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
UM
2009
Springer
14 years 2 months ago
Just-in-Time Adaptivity through Dynamic Items
Adaptive course generation becomes more appropriate for realistic usage scenarios and more flexible if it includes mechanisms deciding just-in-time which content, which exercises,...
Carsten Ullrich, Tianxiang Lu, Erica Melis
GAMESEC
2010
136views Game Theory» more  GAMESEC 2010»
13 years 5 months ago
Effective Multimodel Anomaly Detection Using Cooperative Negotiation
Abstract. Many computer protection tools incorporate learning techniques that build mathematical models to capture the characteristics of system's activity and then check whet...
Alberto Volpatto, Federico Maggi, Stefano Zanero
EWSPT
2003
Springer
14 years 25 days ago
Lessons Learned and Recommendations from Two Large Norwegian SPI Programmes
: Software development is an experimental discipline, i.e. somewhat unpredictable. This suggests that software processes improvement should be based on the continuous iteration of ...
Reidar Conradi, Tore Dybå, Dag I. K. Sj&osla...
CIA
2006
Springer
13 years 11 months ago
Market-Inspired Approach to Collaborative Learning
The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model...
Jan Tozicka, Michal Jakob, Michal Pechoucek