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JMLR
2008
188views more  JMLR 2008»
15 years 6 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
DATAMINE
2010
161views more  DATAMINE 2010»
15 years 4 months ago
Predicting labels for dyadic data
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
Aditya Krishna Menon, Charles Elkan
JMLR
2006
108views more  JMLR 2006»
15 years 6 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...
IVA
2005
Springer
16 years 8 days ago
Teaching Virtual Characters How to Use Body Language
Abstract. Non-verbal communication, or “body language”, is a critical component in constructing believable virtual characters. Most often, body language is implemented by a set...
Doron A. Friedman, Marco Gillies
AGI
2008
15 years 8 months ago
Extending the Soar Cognitive Architecture
One approach in pursuit of general intelligent agents has been to concentrate on the underlying cognitive architecture, of which Soar is a prime example. In the past, Soar has reli...
John E. Laird