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» Kernels and Regularization on Graphs
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ICDM
2005
IEEE
142views Data Mining» more  ICDM 2005»
14 years 3 months ago
Shortest-Path Kernels on Graphs
Data mining algorithms are facing the challenge to deal with an increasing number of complex objects. For graph data, a whole toolbox of data mining algorithms becomes available b...
Karsten M. Borgwardt, Hans-Peter Kriegel
JMLR
2006
143views more  JMLR 2006»
13 years 9 months ago
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms
We determine the asymptotic behaviour of the function computed by support vector machines (SVM) and related algorithms that minimize a regularized empirical convex loss function i...
Régis Vert, Jean-Philippe Vert
ICPR
2008
IEEE
14 years 4 months ago
Alternative similarity functions for graph kernels
Given a bipartite graph of collaborative ratings, the task of recommendation and rating prediction can be modeled with graph kernels. We interpret these graph kernels as the inver...
Jérôme Kunegis, Andreas Lommatzsch, C...
IWOCA
2009
Springer
160views Algorithms» more  IWOCA 2009»
14 years 2 months ago
Note on Decomposition of Kn, n into (0, j)-prisms
R. H¨aggkvist proved that every 3-regular bipartite graph of order 2n with no component isomorphic to the Heawood graph decomposes the complete bipartite graph K6n,6n. In [2] the ...
Sylwia Cichacz, Dalibor Froncek, Petr Kovár
COMBINATORICS
2000
138views more  COMBINATORICS 2000»
13 years 9 months ago
Quasi-Spectral Characterization of Strongly Distance-Regular Graphs
A graph with diameter d is strongly distance-regular if is distanceregular and its distance-d graph d is strongly regular. The known examples are all the connected strongly regu...
Miguel Angel Fiol