140 search results - page 25 / 28 » Learning Better Data Representation Using Inference-Driven M... |
102
Voted
IDA
2006
Springer
14 years 9 months ago
2006
Springer
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
GECCO
2010
Springer
14 years 10 months ago
2010
Springer
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
CSB
2003
IEEE
15 years 2 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...
ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...