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EMNLP
2009
14 years 9 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
CPHYSICS
2008
86views more  CPHYSICS 2008»
14 years 11 months ago
On ERI sorting for SIMD execution of large-scale Hartree-Fock SCF
Given the resurgent attractiveness of single-instruction-multiple-data (SIMD) processing, it is important for high-performance computing applications to be SIMD-capable. The Hartr...
Tirath Ramdas, Gregory K. Egan, David Abramson, Ki...
DEBS
2010
ACM
15 years 3 months ago
Evaluation of streaming aggregation on parallel hardware architectures
We present a case study parallelizing streaming aggregation on three different parallel hardware architectures. Aggregation is a performance-critical operation for data summarizat...
Scott Schneider, Henrique Andrade, Bugra Gedik, Ku...
ENTCS
2010
97views more  ENTCS 2010»
14 years 9 months ago
A Framework for Modelling and Simulating Networks of Cells
Several complex biological phenomena are to be modelled in terms of a large and dynamic network of compartments, where the interplay between inter-compartment and intra-compartmen...
Sara Montagna, Mirko Viroli
99
Voted
BMCBI
2010
208views more  BMCBI 2010»
14 years 11 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...