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ICML
2007
IEEE
15 years 10 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
14 years 11 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
15 years 4 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
15 years 10 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»
15 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...