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» Learning with the Set Covering Machine
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212
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DOCENG
2011
ACM
14 years 12 days ago
Contributions to the study of SMS spam filtering: new collection and results
The growth of mobile phone users has lead to a dramatic increasing of SMS spam messages. In practice, fighting mobile phone spam is difficult by several factors, including the lo...
Tiago A. Almeida, José María G&oacut...
IPPS
2000
IEEE
15 years 5 months ago
PaDDMAS: Parallel and Distributed Data Mining Application Suite
Discovering complex associations, anomalies and patterns in distributed data sets is gaining popularity in a range of scientific, medical and business applications. Various algor...
Omer F. Rana, David W. Walker, Maozhen Li, Steven ...
111
Voted
CLEF
2008
Springer
15 years 2 months ago
RAVE: A Fast Logic-Based Answer Validator
RAVE (Real-time Answer Validation Engine) is a logic-based answer validator/selector designed for real-time question answering. Instead of proving a hypothesis for each answer, RAV...
Ingo Glöckner
106
Voted
JSA
2006
97views more  JSA 2006»
15 years 17 days ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...
RWEB
2007
Springer
15 years 6 months ago
Semantic Descriptions in an Enterprise Search Solution
Today customers want to use powerful search engines for their huge and increasing content repositories. Full-text-only products with simple result lists are not enough to satisfy t...
Uwe Crenze, Stefan Köhler, Kristian Hermsdorf...