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» Statistical Models for Automatic Performance Tuning
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PR
2007
104views more  PR 2007»
14 years 9 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
15 years 3 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
96
Voted
ICTAI
2007
IEEE
15 years 3 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
14 years 11 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
14 years 7 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