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CICLING
2007
Springer
16 years 18 days ago
Learning for Semantic Parsing
Semantic parsing is the task of mapping a natural language sentence into a complete, formal meaning representation. Over the past decade, we have developed a number of machine lear...
Raymond J. Mooney
ICRA
2005
IEEE
105views Robotics» more  ICRA 2005»
16 years 13 hour ago
Learning Activity-Based Ground Models from a Moving Helicopter Platform
— We present a method for learning activity-based ground models based on a multiple particle filter approach to motion tracking in video acquired from a moving aerial platform. ...
Andrew Lookingbill, David Lieb, David Stavens, Seb...
ISMIR
2005
Springer
132views Music» more  ISMIR 2005»
15 years 12 months ago
VOISE: Learning to Segregate Voices in Explicit and Implicit Polyphony
Finding multiple occurrences of themes and patterns in music can be hampered due to polyphonic textures. This is caused by the complexity of music that weaves multiple independent...
Phillip B. Kirlin, Paul E. Utgoff
ESANN
2006
15 years 7 months ago
Neural networks and machine learning in bioinformatics - theory and applications
Bioinformatics is a promising and innovative research field. Despite of a high number of techniques specifically dedicated to bioinformatics problems as well as many successful app...
Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas...
NIPS
2004
15 years 7 months ago
Learning Preferences for Multiclass Problems
Many interesting multiclass problems can be cast in the general framework of label ranking defined on a given set of classes. The evaluation for such a ranking is generally given ...
Fabio Aiolli, Alessandro Sperduti