598 search results - page 73 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
IJCAI
2007
14 years 11 months ago
2007
Programming a humanoid robot to walk is a challenging problem in robotics. Traditional approaches rely heavily on prior knowledge of the robot's physical parameters to devise...
APIN
2004
14 years 9 months ago
2004
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
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ISPASS
2009
IEEE
2009
IEEE
Machine learning based online performance prediction for runtime parallelization and task scheduling
15 years 4 months ago
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
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MMAS
2011
Springer
14 years 4 months ago
2011
Springer
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
Naive Bayes is often used as a baseline in text classification because it is fast and easy to implement. Its severe assumptions make such efficiency possible but also adversely af...