695 search results - page 37 / 139 » The structure of intrinsic complexity of learning |
IJCAI
2007
13 years 9 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
ECSQARU
2009
Springer
14 years 2 months ago
2009
Springer
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
ISMB
1993
13 years 9 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
— There is much to gain from providing walking machines with passive dynamics, e.g. by including compliant elements in the structure. These elements can offer interesting propert...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...