1323 search results - page 130 / 265 » Feature Extraction for Machine Learning: Logic-Probabilistic... |
EMNLP
2009
14 years 7 months ago
2009
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
108
click to vote
JMLR
2010
14 years 4 months ago
2010
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Linear discriminant analysis (LDA) has been an active topic of research during the last century. However, the existing algorithms have several limitations when applied to visual d...
100
click to vote
ML
2012
ACM
13 years 5 months ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...