291 search results - page 42 / 59 » Implementation with a bounded action space |
JMLR
2011
13 years 2 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
DCC
2009
IEEE
14 years 8 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
ICIP
2007
IEEE
14 years 1 months ago
2007
IEEE
Block based motion compensation techniques make frequent use of Early Termination Algorithms (ETA) to reduce the computational cost of block matching process. ETAs have been well ...
IROS
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— As robots become more commonplace within society, the need for tools to enable non-robotics-experts to develop control algorithms, or policies, will increase. Learning ...
ICFP
2009
ACM
14 years 8 months ago
2009
ACM
Memoization is a well-known optimization technique used to eliminate redundant calls for pure functions. If a call to a function f with argument v yields result r, a subsequent ca...