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Support Vector Machine Classification with Indefinite Kernels
v1v2 (latest)

Support Vector Machine Classification with Indefinite Kernels

Mathematical Programming Computation (MPC), 2007
1 April 2008
Ronny Luss
Alexandre d’Aspremont
ArXiv (abs)PDFHTML

Papers citing "Support Vector Machine Classification with Indefinite Kernels"

23 / 23 papers shown
Symmetry-Aware Bayesian Optimization via Max Kernels
Symmetry-Aware Bayesian Optimization via Max Kernels
Anthony Bardou
Antoine Gonon
Aryan Ahadinia
Patrick Thiran
126
0
0
29 Sep 2025
Support Vector Machine Kernels as Quantum Propagators
Support Vector Machine Kernels as Quantum Propagators
Nan-Hong Kuo
Renata Wong
192
0
0
16 Feb 2025
A Spectral Framework for Evaluating Geodesic Distances Between Graphs
A Spectral Framework for Evaluating Geodesic Distances Between Graphs
S. S. Shuvo
Ali Aghdaei
Zhuo Feng
376
0
0
15 Jun 2024
On Statistical Properties of Sharpness-Aware Minimization: Provable
  Guarantees
On Statistical Properties of Sharpness-Aware Minimization: Provable Guarantees
Kayhan Behdin
Rahul Mazumder
497
7
0
23 Feb 2023
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph
  Neural Networks
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Ching-Yao Chuang
Stefanie Jegelka
OOD
243
49
0
04 Oct 2022
On a linear fused Gromov-Wasserstein distance for graph structured data
On a linear fused Gromov-Wasserstein distance for graph structured dataPattern Recognition (Pattern Recogn.), 2022
Dai Hai Nguyen
Koji Tsuda
OT
209
17
0
09 Mar 2022
Weisfeiler-Lehman meets Gromov-Wasserstein
Weisfeiler-Lehman meets Gromov-WassersteinInternational Conference on Machine Learning (ICML), 2022
Samantha Chen
Sunhyuk Lim
Facundo Mémoli
Qingsong Wang
Yusu Wang
CoGe
307
20
0
05 Feb 2022
Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning
  Perspective
Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective
Simon Heilig
Maximilian Münch
Frank-Michael Schleif
271
1
0
18 Dec 2021
A Regularized Wasserstein Framework for Graph Kernels
A Regularized Wasserstein Framework for Graph Kernels
Asiri Wijesinghe
Qing Wang
Stephen Gould
215
4
0
06 Oct 2021
Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel
  Machines
Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines
Matthew A. Wright
Joseph E. Gonzalez
297
24
0
02 Jun 2021
Towards understanding the power of quantum kernels in the NISQ era
Towards understanding the power of quantum kernels in the NISQ eraQuantum (Quantum), 2021
Xinbiao Wang
Yuxuan Du
Yong Luo
Dacheng Tao
393
92
0
31 Mar 2021
A contribution to Optimal Transport on incomparable spaces
A contribution to Optimal Transport on incomparable spaces
Titouan Vayer
OT
397
25
0
09 Nov 2020
Radial basis function kernel optimization for Support Vector Machine
  classifiers
Radial basis function kernel optimization for Support Vector Machine classifiers
Karl Thurnhofer-Hemsi
Ezequiel López-Rubio
Miguel A. Molina-Cabello
Kayvan Najarian
85
38
0
16 Jul 2020
From deep to Shallow: Equivalent Forms of Deep Networks in Reproducing
  Kernel Krein Space and Indefinite Support Vector Machines
From deep to Shallow: Equivalent Forms of Deep Networks in Reproducing Kernel Krein Space and Indefinite Support Vector Machines
A. Shilton
Sunil Gupta
Santu Rana
Svetha Venkatesh
261
0
0
15 Jul 2020
An Overview of Distance and Similarity Functions for Structured Data
An Overview of Distance and Similarity Functions for Structured DataArtificial Intelligence Review (AI Review), 2020
Santiago Ontañón
243
99
0
18 Feb 2020
Fused Gromov-Wasserstein distance for structured objects: theoretical
  foundations and mathematical properties
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties
David Tellez
G. Litjens
J. A. van der Laak
R. Tavenard
F. Ciompi
OT
295
173
0
07 Nov 2018
Optimal Transport for structured data with application on graphs
Optimal Transport for structured data with application on graphs
Titouan Vayer
Laetitia Chapel
Rémi Flamary
R. Tavenard
Nicolas Courty
OT
344
326
0
23 May 2018
Supervised Learning with Indefinite Topological Kernels
Supervised Learning with Indefinite Topological Kernels
T. Padellini
P. Brutti
249
6
0
20 Sep 2017
Identifying networks with common organizational principles
Identifying networks with common organizational principles
Anatol E. Wegner
Luis Ospina-Forero
Robert E. Gaunt
Charlotte M. Deane
Gesine Reinert
202
25
0
02 Apr 2017
Supervised Metric Learning with Generalization Guarantees
Supervised Metric Learning with Generalization Guarantees
A. Bellet
389
10
0
17 Jul 2013
Supervised Learning with Similarity Functions
Supervised Learning with Similarity FunctionsNeural Information Processing Systems (NeurIPS), 2012
Purushottam Kar
Prateek Jain
165
17
0
22 Oct 2012
Kernels on Sample Sets via Nonparametric Divergence Estimates
Kernels on Sample Sets via Nonparametric Divergence Estimates
Danica J. Sutherland
L. Xiong
Barnabas Poczos
J. Schneider
421
25
0
01 Feb 2012
Positive Definite Kernels in Machine Learning
Positive Definite Kernels in Machine Learning
Marco Cuturi
VLM
365
16
0
28 Nov 2009
1
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