2898 search results - page 320 / 580 » Ensemble Methods in Machine Learning |
137
Voted
ICML
2002
IEEE
16 years 3 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
132
Voted
ML
2008
ACM
15 years 2 months ago
2008
ACM
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
95
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
140
Voted
ICML
2003
IEEE
15 years 7 months ago
2003
IEEE
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
124
Voted
COLT
2005
Springer
15 years 8 months ago
2005
Springer
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...