21 search results - page 4 / 5 » Unsupervised learning neural network with convex constraint:... |
ICANN
2007
Springer
13 years 12 months ago
2007
Springer
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
JMLR
2008
13 years 5 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
JCP
2007
13 years 5 months ago
2007
—In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introd...
CDC
2009
IEEE
13 years 10 months ago
2009
IEEE
— We consider the problem of attitude stabilization using exclusively visual sensory input, and we look for a solution which can satisfy the constraints of a “bio-plausible” ...
AROBOTS
2002
13 years 5 months ago
2002
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...