11 search results - page 1 / 3 » Feature Space Enrichment by Incorporation of Implicit Featur... |
IDEAS
2007
IEEE
14 years 1 months ago
2007
IEEE
Feature Space Conversion for classifiers is the process by which the data that is to be fed into the classifier is transformed from one form to another. The motivation behind doin...
PAKDD
2005
ACM
14 years 11 days ago
2005
ACM
Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
ICML
2004
IEEE
14 years 7 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
AAAI
2011
12 years 6 months ago
2011
We propose Tree Sequence Kernel (TSK), which implicitly exhausts the structure features of a sequence of subtrees embedded in the phrasal parse tree. By incorporating the capabili...