296 search results - page 14 / 60 » How to process uncertainty in machine learning |
ML
2002
ACM
13 years 8 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
MLG
2007
Springer
14 years 2 months ago
2007
Springer
: Network topology not only tells about tightly-connected “communities,” but also gives cues on more subtle properties of the vertices. We introduce a simple probabilistic late...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
ICALT
2008
IEEE
14 years 3 months ago
2008
IEEE
Nowadays most universities use different distance learning environments. However in the educational process besides forums, chats and other collaborative possibilities the content...
ICPP
2008
IEEE
14 years 3 months ago
2008
IEEE
Computer manufacturers spend a huge amount of time, resources, and money in designing new systems and newer configurations, and their ability to reduce costs, charge competitive p...