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NLPRS
2001
Springer
15 years 7 months ago
A Bayesian Approach to Semi-Supervised Learning
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Rebecca F. Bruce
CIKM
2004
Springer
15 years 8 months ago
Distributional term representations: an experimental comparison
A number of content management tasks, including term categorization, term clustering, and automated thesaurus generation, view natural language terms (e.g. words, noun phrases) as...
Alberto Lavelli, Fabrizio Sebastiani, Roberto Zano...
IPPS
2008
IEEE
15 years 9 months ago
DC-SIMD : Dynamic communication for SIMD processors
SIMD (single instruction multiple data)-type processors have been found very efficient in image processing applications, because their repetitive structure is able to exploit the...
Raymond Frijns, Hamed Fatemi, Bart Mesman, Henk Co...
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
16 years 3 months ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi
SIGIR
2009
ACM
15 years 9 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero