Fetching the paper…
Reading the bibliography…
In this paper, we propose a theory which unifies kernel learning and symbolic algebraic methods.
Theoretical foundations of the potential function method in pattern recognition learning
Mark A. Aizerman, Emmanuel M. Braverman, and Lev I. Rozonoer · 1964
Earlier work this paper cites.
The construction of multivariate polynomials with preassigned zeros
H Michael Möller and Bruno Buchberger · 1982
Earlier work this paper cites.
Principal curves and surfaces
Trevor Hastie · 1984
Earlier work this paper cites.
A training algorithm for optimal margin classifiers
Bernhard E. Boser, Isabelle M. Guyon, and Vladimir N. Vapnik · 1992
Earlier work this paper cites.
The singular value decomposition for polynomial systems
Robert M. Corless, Patrizia M. Gianni, Barry M. Trager, and Steven M. Watt · 1995
Earlier work this paper cites.
The Nature of Statistical Learning Theory
Vladimir N. Vapnik · 1995
Earlier work this paper cites.
Nonlinear component analysis as a kernel eigenvalue problem
Bernhard Schölkopf, Alexander Smola, and Klaus-Robert Müller · 1998
Earlier work this paper cites.
Nonlinear dimensionality reduction by locally linear embedding
Sam T Roweis and Lawrence K Saul · 2000
Cited alongside, same era.
Algebraic statistics: Computational commutative algebra in statistics
Giovanni Pistone, Eva Riccomagno, and Henry P Wynn · 2002
Cited alongside, same era.
Learning with kernels
Bernhard Schölkopf and Alexander J Smola · 2002
Cited alongside, same era.
Solving Systems of Polynomial Equations , volume 97 of CBMS Regional Conferences Series
Bernd Sturmfels · 2002
Cited alongside, same era.
Kernel Methods for Pattern Analysis
John Shawe-Taylor and Nello Cristianini · 2004
Cited alongside, same era.
Numerical polynomial algebra
Hans J. Stetter · 2004
Cited alongside, same era.
Approximate varieties, approximate ideals and dimension reduction
Tomas Sauer · 2007
Later among the works it cites.
Group Theoretical Methods in Machine Learning
Risi Kondor · 2008
Later among the works it cites.
Approximate computation of zero-dimensional polynomial ideals
Daniel Heldt, Martin Kreuzer, Sebastian Pokutta, and Hennie Poulisse · 2009
Later among the works it cites.
Lectures on Algebraic Statistics
Mathias Drton, Bernd Sturmfels, and Seth Sullivant · 2010
Later among the works it cites.
Algebraic and Geometric Methods in Statistics
Paolo Gibilisco, Eva Riccomagno, Maria Piera Rogantin, and Henry P. Wynn · 2010
Later among the works it cites.
Error-minimizing estimates and universal entry-wise error bounds for low-rank matrix completion
Franz J Király and Louis Theran · 2013
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
René Vidal, Yi Ma, and Sastry Shankar · 2005
Cited alongside, same era.
Algebraic geometric comparison of probability distributions
Franz Johannes Király, Paul von Bünau, Frank Meinecke, Duncan Blythe, and Klaus-Robert Müller
Cited in the paper.
Regression for sets of polynomial equations
Franz Johannes Király, Paul von Bünau, Jan Saputra Müller, Duncan Blythe, Frank Meinecke, and Klaus-Robert Müller
Cited in the paper.
Vanishing component analysis
Roi Livni, David Lehavi, Sagi Schein, Hila Nachliely, Shai Shalev-Shwartz, and Amir Globerson · 2013
Later among the works it cites.