84 search results - page 4 / 17 » Handling Sparse Data Sets by Applying Contrast Set Mining in... |
SDM
2003
SIAM
13 years 7 months ago
2003
SIAM
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
KDD
2006
ACM
14 years 6 months ago
2006
ACM
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
ICCV
2009
IEEE
13 years 3 months ago
2009
IEEE
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
JMLR
2011
13 years 1 months ago
2011
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
GECCO
2010
Springer
13 years 11 months ago
2010
Springer
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...