171 search results - page 31 / 35 » Solution Methods for a New Class of Simple Model Neurons |
IANDC
2007
13 years 7 months ago
2007
We define reactive simulatability for general asynchronous systems. Roughly, simulatability means that a real system implements an ideal system (specification) in a way that pre...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
PLDI
2005
ACM
14 years 27 days ago
2005
ACM
Reuse of existing code from class libraries and frameworks is often difficult because APIs are complex and the client code required to use the APIs can be hard to write. We obser...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...