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» Kernels for Semi-Structured Data
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139
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BMCBI
2008
149views more  BMCBI 2008»
15 years 28 days ago
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
Antti Airola, Sampo Pyysalo, Jari Björne, Tap...
108
Voted
QRE
2008
140views more  QRE 2008»
15 years 9 days ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
BMCBI
2010
86views more  BMCBI 2010»
15 years 28 days ago
Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism
Background: Understanding of secondary metabolic pathway in plant is essential for finding druggable candidate enzymes. However, there are many enzymes whose functions are not yet...
Hiroto Saigo, Masahiro Hattori, Hisashi Kashima, K...
108
Voted
SIGSOFT
2010
ACM
14 years 10 months ago
Scalable SMT-based verification of GPU kernel functions
Interest in Graphical Processing Units (GPUs) is skyrocketing due to their potential to yield spectacular performance on many important computing applications. Unfortunately, writ...
Guodong Li, Ganesh Gopalakrishnan
98
Voted
CSIE
2009
IEEE
15 years 7 months ago
Identifying DNA Strands Using a Kernel of Classified Sequences
— Automated DNA sequencing produces a large amount of raw DNA sequence data that then needs to be classified, organized, and annotation. One major application is the comparison o...
Guillermo Tonsmann, David D. Pollock, Wanjun Gu, T...