21 search results - page 2 / 5 » Efficient L1 Regularized Logistic Regression |
EMNLP
2008
13 years 6 months ago
2008
String transformation, which maps a source string s into its desirable form t , is related to various applications including stemming, lemmatization, and spelling correction. The ...
NIPS
2008
13 years 6 months ago
2008
Neuroimaging datasets often have a very large number of voxels and a very small number of training cases, which means that overfitting of models for this data can become a very se...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
JMLR
2010
13 years 3 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...