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» Chunking with Support Vector Machines
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NIPS
2003
13 years 7 months ago
Laplace Propagation
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
Alexander J. Smola, Vishy Vishwanathan, Eleazar Es...
CEC
2007
IEEE
14 years 10 days ago
Concerning the potential of evolutionary support vector machines
— Within the present paper, we put forward a novel hybridization between support vector machines and evolutionary algorithms. Evolutionary support vector machines consider the cl...
Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumi...
USENIX
2007
13 years 8 months ago
Supporting Practical Content-Addressable Caching with CZIP Compression
Content-based naming (CBN) enables content sharing across similar files by breaking files into positionindependent chunks and naming these chunks using hashes of their contents....
KyoungSoo Park, Sunghwan Ihm, Mic Bowman, Vivek S....
PR
2008
141views more  PR 2008»
13 years 6 months ago
Robust and efficient multiclass SVM models for phrase pattern recognition
Phrase pattern recognition (phrase chunking) refers to automatic approaches for identifying predefined phrase structures in a stream of text. Support vector machines (SVMs)-based ...
Yu-Chieh Wu, Yue-Shi Lee, Jie-Chi Yang