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ICML
2007
IEEE
14 years 9 months ago
Learning from interpretations: a rooted kernel for ordered hypergraphs
The paper presents a kernel for learning from ordered hypergraphs, a formalization that captures relational data as used in Inductive Logic Programming (ILP). The kernel generaliz...
Gabriel Wachman, Roni Khardon
EMNLP
2008
13 years 10 months ago
A Dependency-based Word Subsequence Kernel
This paper introduces a new kernel which computes similarity between two natural language sentences as the number of paths shared by their dependency trees. The paper gives a very...
Rohit J. Kate
CSE
2009
IEEE
14 years 3 months ago
Fast Fusion of Medical Images Based on Bayesian Risk Minimization and Pixon Map
Fast fusion of multiple registered out-of-focus images is of great interest in medical imaging; for example, the thoracic cavity is always too bumpy to be focused on all parts at ...
Hongbo Zhou, Qiang Cheng, Mehdi Zargham
ICML
2006
IEEE
14 years 9 months ago
On 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
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
14 years 3 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...