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» Alternative similarity functions for graph kernels
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SPIRE
2005
Springer
14 years 1 months ago
Deriving TF-IDF as a Fisher Kernel
The Dirichlet compound multinomial (DCM) distribution has recently been shown to be a good model for documents because it captures the phenomenon of word burstiness, unlike standar...
Charles Elkan
JMLR
2008
148views more  JMLR 2008»
13 years 8 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
WABI
2009
Springer
162views Bioinformatics» more  WABI 2009»
14 years 3 months ago
Aligning Biomolecular Networks Using Modular Graph Kernels
Comparative analysis of biomolecular networks constructed using measurements from different conditions, tissues, and organisms offer a powerful approach to understanding the stru...
Fadi Towfic, M. Heather West Greenlee, Vasant Hona...
BMCBI
2010
86views more  BMCBI 2010»
13 years 8 months 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...
AAAI
2012
11 years 10 months ago
Semi-Supervised Kernel Matching for Domain Adaptation
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
Min Xiao, Yuhong Guo