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ACL
2009
15 years 5 months ago
Unsupervised Learning of Narrative Schemas and their Participants
We describe an unsupervised system for learning narrative schemas, coherent sequences or sets of events (arrested(POLICE,SUSPECT), convicted( JUDGE, SUSPECT)) whose arguments are ...
Nathanael Chambers, Dan Jurafsky
EUSFLAT
2003
165views Fuzzy Logic» more  EUSFLAT 2003»
15 years 8 months ago
Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
Igor Walter, Fernando A. C. Gomide
GECCO
2009
Springer
138views Optimization» more  GECCO 2009»
16 years 1 months ago
IMAD: in-execution malware analysis and detection
The sophistication of computer malware is becoming a serious threat to the information technology infrastructure, which is the backbone of modern e-commerce systems. We, therefore...
Syed Bilal Mehdi, Ajay Kumar Tanwani, Muddassar Fa...
ICALT
2008
IEEE
16 years 1 months ago
The Virtual Conductor: Learning and Teaching about Music, Performing, and Conducting
The Virtual Conductor is an artificial conducting system that uses real-time audio analysis of music played by musicians and uses this analysis to animate a virtual human that act...
Anton Nijholt, Dennis Reidsma, Rob Ebbers, Mark te...
AHS
2007
IEEE
219views Hardware» more  AHS 2007»
16 years 1 months ago
A learning machine for resource-limited adaptive hardware
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...
Davide Anguita, Alessandro Ghio, Stefano Pischiutt...