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NIPS
2007
14 years 11 months ago
Kernels on Attributed Pointsets with Applications
This paper introduces kernels on attributed pointsets, which are sets of vectors embedded in an euclidean space. The embedding gives the notion of neighborhood, which is used to d...
Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhat...
SMI
2010
IEEE
165views Image Analysis» more  SMI 2010»
14 years 7 months ago
Designing a Topological Modeler Kernel: A Rule-Based Approach
In this article, we present a rule-based language dedicated to topological operations, based on graph transformations. Generalized maps are described as a particular class of graph...
Thomas Bellet, Mathieu Poudret, Agnès Arnou...
NIPS
2004
14 years 11 months ago
Supervised Graph Inference
We formulate the problem of graph inference where part of the graph is known as a supervised learning problem, and propose an algorithm to solve it. The method involves the learni...
Jean-Philippe Vert, Yoshihiro Yamanishi
CORR
2011
Springer
143views Education» more  CORR 2011»
14 years 1 months ago
Polynomial kernels for Proper Interval Completion and related problems
Given a graph G = (V, E) and a positive integer k, the Proper Interval Completion problem asks whether there exists a set F of at most k pairs of (V × V ) \ E such that the graph...
Stéphane Bessy, Anthony Perez
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 4 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu