Sciweavers

1310 search results - page 129 / 262
» Learning the k in k-means
Sort
View
ICASSP
2010
IEEE
15 years 6 months ago
Multiplicative update rules for nonnegative matrix factorization with co-occurrence constraints
Nonnegative matrix factorization (NMF) is a widely-used tool for obtaining low-rank approximations of nonnegative data such as digital images, audio signals, textual data, financ...
Steven K. Tjoa, K. J. Ray Liu
ALGORITHMICA
2010
95views more  ALGORITHMICA 2010»
15 years 6 months ago
Homogeneous String Segmentation using Trees and Weighted Independent Sets
We divide a string into k segments, each with only one sort of symbols, so as to minimize the total number of exceptions. Motivations come from machine learning and data mining. F...
Peter Damaschke
SIGCSE
2008
ACM
110views Education» more  SIGCSE 2008»
15 years 6 months ago
Innovating our self image
ion." These images do not foster collaboration with other fields and do not excite the curiosity of young people. In this session, Astrachan and Denning will discuss what they...
Owen L. Astrachan, Peter J. Denning
BMCBI
2010
182views more  BMCBI 2010»
15 years 6 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
BMCBI
2006
134views more  BMCBI 2006»
15 years 6 months ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...