1062 search results - page 116 / 213 » Sublinear Optimization for Machine Learning |
112
Voted
CVPR
2007
IEEE
15 years 8 months ago
2007
IEEE
This paper describes a local ensemble kernel learning technique to recognize/classify objects from a large number of diverse categories. Due to the possibly large intraclass featu...
105
click to vote
COLT
2007
Springer
15 years 8 months ago
2007
Springer
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
ECAI
2004
Springer
15 years 7 months ago
2004
Springer
The purpose of this paper is to show that a well known machine learning technique based on Decision Trees can be effectively used to select the best approach (in terms of efficien...
165
click to vote
ICDE
2012
IEEE
13 years 4 months ago
2012
IEEE
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
139
click to vote
ACL
2010
15 years 9 days ago
2010
We present cdec, an open source framework for decoding, aligning with, and training a number of statistical machine translation models, including word-based models, phrase-based m...