2878 search results - page 78 / 576 » Learning the Common Structure of Data |
346
Voted
ICA
2012
Springer
13 years 11 months ago
2012
Springer
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
157
Voted
JMLR
2010
14 years 10 months ago
2010
Inducing a grammar from text has proven to be a notoriously challenging learning task despite decades of research. The primary reason for its difficulty is that in order to induce...
132
Voted
CSB
2003
IEEE
15 years 8 months ago
2003
IEEE
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
122
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We describe a causal learning method, which employs measuring the strength of statistical dependences in terms of the Hilbert-Schmidt norm of kernel-based cross-covariance operato...
131
Voted
CANDC
2002
ACM
15 years 3 months ago
2002
ACM
We show that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure