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» Sparse probabilistic classifiers
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151
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IPM
2008
155views more  IPM 2008»
15 years 2 months ago
Determining the informational, navigational, and transactional intent of Web queries
In this paper, we define and present a comprehensive classification of user intent for Web searching. The classification consists of three hierarchical levels of informational, na...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink
117
Voted
JMLR
2006
125views more  JMLR 2006»
15 years 2 months ago
Spam Filtering Using Statistical Data Compression Models
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...
120
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TITS
2008
262views more  TITS 2008»
15 years 2 months ago
Robust Lane Detection and Tracking in Challenging Scenarios
A lane-detection system is an important component of many intelligent transportation systems. We present a robust lane-detection-and-tracking algorithm to deal with challenging sce...
ZuWhan Kim
144
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TON
2008
239views more  TON 2008»
15 years 2 months ago
Characterization of failures in an operational IP backbone network
Abstract--As the Internet evolves into a ubiquitous communication infrastructure and supports increasingly important services, its dependability in the presence of various failures...
Athina Markopoulou, Gianluca Iannaccone, Supratik ...
128
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RAS
2000
161views more  RAS 2000»
15 years 2 months ago
Active object recognition by view integration and reinforcement learning
A mobile agent with the task to classify its sensor pattern has to cope with ambiguous information. Active recognition of three-dimensional objects involves the observer in a sear...
Lucas Paletta, Axel Pinz