1897 search results - page 23 / 380 » Sparse Additive Machine |
95
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Although support vector machines (SVMs) for binary classification give rise to a decision rule that only relies on a subset of the training data points (support vectors), it will ...
132
click to vote
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
114
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...
95
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We present a new approach to multiple instance learning (MIL) that is particularly effective when the positive bags are sparse (i.e. contain few positive instances). Unlike other ...
118
Voted
COLT
2010
Springer
14 years 10 months ago
2010
Springer
A significant Fourier transform (SFT) algorithm, given a threshold and oracle access to a function f, outputs (the frequencies and approximate values of) all the -significant Fou...