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A kernel-based framework for learning graded relations from data

A kernel-based framework for learning graded relations from data

IEEE transactions on fuzzy systems (IEEE Trans. Fuzzy Syst.), 2011
28 November 2011
Willem Waegeman
T. Pahikkala
A. Airola
T. Salakoski
Michiel Stock
B. De Baets
ArXiv (abs)PDFHTML

Papers citing "A kernel-based framework for learning graded relations from data"

16 / 16 papers shown
Pairwise Ranking with Gaussian Kernels
Pairwise Ranking with Gaussian Kernels
Guanhang Lei
Lei Shi
297
2
0
06 Apr 2023
Generalized vec trick for fast learning of pairwise kernel models
Generalized vec trick for fast learning of pairwise kernel modelsMachine-mediated learning (ML), 2020
Markus Viljanen
A. Airola
T. Pahikkala
256
10
0
02 Sep 2020
Learning Inconsistent Preferences with Gaussian Processes
Learning Inconsistent Preferences with Gaussian Processes
Siu Lun Chau
Javier I. González
Dino Sejdinovic
338
11
0
06 Jun 2020
Multi-Target Prediction: A Unifying View on Problems and Methods
Multi-Target Prediction: A Unifying View on Problems and Methods
Willem Waegeman
Krzysztof Dembczyñski
Eyke Huellermeier
182
91
0
07 Sep 2018
Neural-Kernelized Conditional Density Estimation
Neural-Kernelized Conditional Density Estimation
Hiroaki Sasaki
Aapo Hyvarinen
BDL
207
7
0
05 Jun 2018
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge
  Regression
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression
Michiel Stock
T. Pahikkala
A. Airola
B. De Baets
Willem Waegeman
219
26
0
05 Mar 2018
Characteristic and Universal Tensor Product Kernels
Characteristic and Universal Tensor Product Kernels
Z. Szabó
Bharath K. Sriperumbudur
608
85
0
28 Aug 2017
Symmetric and antisymmetric properties of solutions to kernel-based
  machine learning problems
Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems
G. Gnecco
177
3
0
27 Jun 2016
Exact and efficient top-K inference for multi-target prediction by
  querying separable linear relational models
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models
Michiel Stock
Krzysztof Dembczyñski
B. De Baets
Willem Waegeman
188
1
0
14 Jun 2016
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact
  Two-Step Method
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method
Michiel Stock
T. Pahikkala
A. Airola
B. De Baets
Willem Waegeman
159
8
0
14 Jun 2016
Supervised Learning with Quantum-Inspired Tensor Networks
Supervised Learning with Quantum-Inspired Tensor Networks
E. Stoudenmire
D. Schwab
SSL
257
174
0
18 May 2016
Fast Kronecker product kernel methods via generalized vec trick
Fast Kronecker product kernel methods via generalized vec trick
A. Airola
T. Pahikkala
272
24
0
07 Jan 2016
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels
T. Pahikkala
Markus Viljanen
A. Airola
Willem Waegeman
133
5
0
19 Jun 2015
A two-step learning approach for solving full and almost full cold start
  problems in dyadic prediction
A two-step learning approach for solving full and almost full cold start problems in dyadic prediction
T. Pahikkala
Michiel Stock
A. Airola
T. Aittokallio
B. De Baets
Willem Waegeman
156
23
0
17 May 2014
Identification of functionally related enzymes by learning-to-rank
  methods
Identification of functionally related enzymes by learning-to-rank methodsIEEE/ACM Transactions on Computational Biology & Bioinformatics (TCBB), 2014
Michiel Stock
T. Fober
Eyke Hüllermeier
Serghei Glinca
G. Klebe
T. Pahikkala
A. Airola
B. De Baets
Willem Waegeman
145
7
0
17 May 2014
Efficient Regularized Least-Squares Algorithms for Conditional Ranking
  on Relational Data
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational DataMachine-mediated learning (ML), 2012
T. Pahikkala
A. Airola
Michiel Stock
B. De Baets
Willem Waegeman
213
39
0
21 Sep 2012
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