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PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 2 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
SDM
2008
SIAM
150views Data Mining» more  SDM 2008»
15 years 5 months ago
A Stagewise Least Square Loss Function for Classification
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...
Shuang-Hong Yang, Bao-Gang Hu
ETS
2006
IEEE
67views Hardware» more  ETS 2006»
15 years 4 months ago
Surviving the Shipwreck: What Makes Online Students Stay Online and Learn?
Johannes C. Cronjé, Debbie E. Adendorff, Sa...
142
Voted
CORR
2012
Springer
208views Education» more  CORR 2012»
13 years 12 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
15 years 10 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