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» Alternative similarity functions for graph kernels
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EDBT
2009
ACM
277views Database» more  EDBT 2009»
13 years 10 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...
ML
2008
ACM
110views Machine Learning» more  ML 2008»
13 years 3 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
ICPR
2006
IEEE
14 years 6 months ago
A Convolution Edit Kernel for Error-tolerant Graph Matching
General graph matching methods often suffer from the lack of mathematical structure in the space of graphs. Using kernel functions to evaluate structural graph similarity allows u...
Horst Bunke, Michel Neuhaus
ACMICEC
2007
ACM
245views ECommerce» more  ACMICEC 2007»
13 years 9 months ago
Keyword generation for search engine advertising using semantic similarity between terms
An important problem in search engine advertising is keyword1 generation. In the past, advertisers have preferred to bid for keywords that tend to have high search volumes and hen...
Vibhanshu Abhishek, Kartik Hosanagar
GCB
2009
Springer
139views Biometrics» more  GCB 2009»
13 years 9 months ago
Graph-Kernels for the Comparative Analysis of Protein Active Sites
Abstract: Graphs are often used to describe and analyze the geometry and physicochemical composition of biomolecular structures, such as chemical compounds and protein active sites...
Thomas Fober, Marco Mernberger, Ralph Moritz, Eyke...