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» Kernel methods for learning languages
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SAMOS
2010
Springer
13 years 7 months ago
OpenCL-based design methodology for application-specific processors
OpenCL is a programming language standard which enables the programmer to express the application by structuring its computation as kernels. The OpenCL compiler is given the explic...
Pekka O. Jaskelainen, Carlos S. de La Lama, Pablo ...
FDL
2005
IEEE
14 years 2 months ago
SystemC-WMS: A Wave Mixed Signal Simulator
This paper proposes a methodology for extending SystemC to mixed signal systems, aimed at allowing the reuse of analog models and to the simulation of heterogeneous systems. To th...
Simone Orcioni, Giorgio Biagetti, Massimo Conti
COLING
2002
13 years 9 months ago
Inducing Information Extraction Systems for New Languages via Cross-language Projection
Information extraction (IE) systems are costly to build because they require development texts, parsing tools, and specialized dictionaries for each application domain and each na...
Ellen Riloff, Charles Schafer, David Yarowsky
AAAI
2008
13 years 11 months ago
An Effective and Robust Method for Short Text Classification
Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this w...
Victoria Bobicev, Marina Sokolova
BMCBI
2007
157views more  BMCBI 2007»
13 years 9 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...