2190 search results - page 268 / 438 » Learning with the Set Covering Machine |
123
click to vote
ML
2002
ACM
15 years 10 days ago
2002
ACM
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
108
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
Support Vector Machines (SVMs) suffer from an O(n2 ) training cost, where n denotes the number of training instances. In this paper, we propose an algorithm to select boundary ins...
95
Voted
ICDM
2010
IEEE
14 years 10 months ago
2010
IEEE
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
120
click to vote
PAAMS
2010
Springer
14 years 10 months ago
2010
Springer
The Web has been the star service on the Internet, however the outsized information available and its decentralized nature has originated an intrinsic difficulty to locate, extract...