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» Statistical Models for Automatic Performance Tuning
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PR
2007
104views more  PR 2007»
13 years 7 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
WEBI
2007
Springer
14 years 1 months ago
PSSF: A Novel Statistical Approach for Personalized Service-side Spam Filtering
The volume of spam e-mails has grown rapidly in the last two years resulting in increasing costs to users, network operators, and e-mail service providers (ESPs). E-mail users dem...
Khurum Nazir Junejo, Asim Karim
ICTAI
2007
IEEE
14 years 1 months ago
Automatic Personalized Spam Filtering through Significant Word Modeling
Typically, spam filters are built on the assumption that the characteristics of e-mails in the training set is identical to those in individual users’ inboxes on which it will b...
Khurum Nazir Junejo, Asim Karim
ACL
2006
13 years 9 months ago
Tree-to-String Alignment Template for Statistical Machine Translation
We present a novel translation model based on tree-to-string alignment template (TAT) which describes the alignment between a source parse tree and a target string. A TAT is capab...
Yang Liu, Qun Liu, Shouxun Lin
NAACL
2010
13 years 5 months ago
Automatic Domain Adaptation for Parsing
Current statistical parsers tend to perform well only on their training domain and nearby genres. While strong performance on a few related domains is sufficient for many situatio...
David McClosky, Eugene Charniak, Mark Johnson