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TNN
2010
234views Management» more  TNN 2010»
14 years 10 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
SIGMOD
2012
ACM
253views Database» more  SIGMOD 2012»
13 years 5 months ago
Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems
The advent of affordable, shared-nothing computing systems portends a new class of parallel database management systems (DBMS) for on-line transaction processing (OLTP) applicatio...
Andrew Pavlo, Carlo Curino, Stanley B. Zdonik
132
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WWW
2003
ACM
16 years 4 months ago
Haystack: A Platform for Authoring End User Semantic Web Applications
The Semantic Web promises to open innumerable opportunities for automation and information retrieval by standardizing the protocols for metadata exchange. However, just as the succ...
Dennis Quan, David Huynh, David R. Karger
142
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KDD
2007
ACM
160views Data Mining» more  KDD 2007»
16 years 3 months ago
Show me the money!: deriving the pricing power of product features by mining consumer reviews
The increasing pervasiveness of the Internet has dramatically changed the way that consumers shop for goods. Consumergenerated product reviews have become a valuable source of inf...
Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeir...
147
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KDD
2007
ACM
211views Data Mining» more  KDD 2007»
16 years 3 months ago
Enhanced max margin learning on multimodal data mining in a multimedia database
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured and i...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
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