1897 search results - page 14 / 380 » Sparse Additive Machine |
125
Voted
ICASSP
2010
IEEE
15 years 20 days ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
103
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
AUSAI
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms...
102
Voted
NC
1998
15 years 1 months ago
1998
Many processes are composed of a n-fold repetition of some simpler process. If the whole process can be modeled with a neural network, we present a method to derive a model of the...
108
Voted
ICAC
2007
IEEE
15 years 6 months ago
2007
IEEE
As the use of virtualization and partitioning grows, it becomes possible to deploy a multi-tier web-based application with a variable amount of computing power. This introduces th...