135 search results - page 25 / 27 » Feature hashing for large scale multitask learning |
SYSTOR
2009
ACM
13 years 12 months ago
2009
ACM
Apache is a large-scale industrial multi-process and multithreaded application, which uses lock-based synchronization. We report on our experience in modifying Apache’s cache mo...
AAAI
2006
13 years 6 months ago
2006
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
FCSC
2007
13 years 5 months ago
2007
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
ICDE
2009
IEEE
14 years 7 months ago
2009
IEEE
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
ICMLC
2010
Springer
13 years 3 months ago
2010
Springer
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...