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PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 8 months ago
Laplacian Spectrum Learning
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...
Pannagadatta K. Shivaswamy, Tony Jebara
CORR
2012
Springer
208views Education» more  CORR 2012»
12 years 5 months ago
Ensembles of Kernel Predictors
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...
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
ILP
2007
Springer
14 years 4 months ago
Learning with Kernels and Logical Representations
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...
Paolo Frasconi
ICML
2005
IEEE
14 years 10 months ago
A general regression technique for learning transductions
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
Corinna Cortes, Mehryar Mohri, Jason Weston
IADIS
2008
13 years 11 months ago
Semantic Learning Content Management System
Building semantics concepts into the learning tools and utilities will open the road for the next generation of the Learning Content Management System (LCMS). We propose here to n...
Radu Balog-Crisan, Ioan Roxin