3467 search results - page 101 / 694 » Streamwise Feature Selection |
124
click to vote
ICTAI
1992
IEEE
15 years 5 months ago
1992
IEEE
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
ESANN
2006
15 years 2 months ago
2006
The paper presents and compares the data mining techniques for selection of the diagnostic features in the problem of blood cell recognition in leukemia. Different techniques are c...
102
click to vote
CORR
2007
Springer
15 years 28 days ago
2007
Springer
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
114
click to vote
ARTMED
2007
15 years 1 months ago
2007
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
107
click to vote
KDD
2006
ACM
16 years 1 months ago
2006
ACM
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...