2878 search results - page 33 / 576 » Learning the Common Structure of Data |
70
Voted
WDAG
2009
Springer
15 years 4 months ago
2009
Springer
A contention-sensitive data structure is a concurrent data structure in which the overhead introduced by locking is eliminated in the common cases, when there is no contention, or ...
76
Voted
EMNLP
2006
14 years 11 months ago
2006
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
AAAI
2008
15 years 16 hour ago
2008
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
92
Voted
EMNLP
2007
14 years 11 months ago
2007
This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
ICML
1995
IEEE
15 years 10 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...