73 search results - page 7 / 15 » A statistical learning theory approach of bloat |
NIPS
2001
13 years 9 months ago
2001
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
WEA
2010
Springer
13 years 5 months ago
2010
Springer
Classifying network flows by their application type is the backbone of many crucial network monitoring and controlling tasks, including billing, quality of service, security and tr...
MICCAI
2000
Springer
13 years 11 months ago
2000
Springer
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
ACL
2010
13 years 5 months ago
2010
Statistical translation models that try to capture the recursive structure of language have been widely adopted over the last few years. These models make use of varying amounts o...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...