113 search results - page 3 / 23 » Structural Machine Learning with Galois Lattice and Graphs |
VISSYM
2007
14 years 12 months ago
2007
Lattice graphs are used as underlying data structures in many statistical processing systems, including natural language processing. Lattices compactly represent multiple possible...
ICMLA
2009
14 years 7 months ago
2009
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We apply classic online learning techniques similar to the perceptron algorithm to the problem of learning a function defined on a graph. The benefit of our approach includes simp...
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PAKDD
2011
ACM
14 years 10 days ago
2011
ACM
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
COLT
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. The regularization functional induced by the graph Laplacian of a random neighborhood graph based on the data is adaptive in two ways. First it adapts to an underlying ma...