3668 search results - page 618 / 734 » Margin Distribution and Learning |
104
click to vote
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
KDD
2005
ACM
15 years 10 months ago
2005
ACM
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
CHI
2008
ACM
15 years 10 months ago
2008
ACM
This paper proposes PhotoChat, a system that facilitates communication among users who want to share experiences by enabling them to share photos and notes. PhotoChat is designed ...