3607 search results - page 5 / 722 » Learning with structured sparsity |
COLING
2010
13 years 3 months ago
2010
We present an approach to model hidden attributes in the compositional semantics of adjective-noun phrases in a distributional model. For the representation of adjective meanings,...
TSP
2010
13 years 2 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
ICPR
2010
IEEE
14 years 3 months ago
2010
IEEE
We consider the problem of classification in nonadaptive dimensionality reduction. Specifically, we bound the increase in classification error of Fisher’s Linear Discriminant...
BMCBI
2011
12 years 11 months ago
2011
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...