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PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
ETS
2006
IEEE
14 years 9 months ago
2006
IEEE
CORR
2012
Springer
13 years 5 months ago
2012
Springer
This paper examines the problem of learning with a finite and possibly large set of p base kernels. It presents a theoretical and empirical analysis of an approach addressing thi...
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ILP
2007
Springer
15 years 3 months ago
2007
Springer
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...