1897 search results - page 40 / 380 » Sparse Additive Machine |
110
Voted
CW
2002
IEEE
15 years 5 months ago
2002
IEEE
For sparse array operations, in general, the sparse arrays are compressed by some data compression schemes in order to obtain better performance. The Compressed Row/Column Storage...
149
Voted
JMLR
2010
14 years 7 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
97
Voted
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
In this paper we focus on high dimensional data sets for which the number of dimensions is an order of magnitude higher than the number of objects. From a classifier design standp...
111
click to vote
CORR
2007
Springer
15 years 15 days ago
2007
Springer
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
117
Voted
JMLR
2008
15 years 15 days ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...