36 search results - page 2 / 8 » Large-scale sparse logistic regression |
164
Voted
CSR
2007
Springer
16 years 16 days ago
2007
Springer
Abstract. How could one estimate the total number of clicks a new advertisement could potentially receive in the current market? This question, called the click volume estimation p...
199
Voted
TNN
2010
15 years 1 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
185
Voted
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
189
Voted
OSDI
2008
ACM
16 years 6 months ago
2008
ACM
Previous work showed that statistical analysis techniques could successfully be used to construct compact signatures of distinct operational problems in Internet server systems. B...
183
Voted
ICPR
2008
IEEE
16 years 24 days ago
2008
IEEE
In this paper, we develop an efficient logistic regression model for multiple instance learning that combines L1 and L2 regularisation techniques. An L1 regularised logistic regr...