Generalized vec trick for fast learning of pairwise kernel models

DOI10.1007/s10994-021-06127-yOpenAlexW3082511454MaRDI QIDQ2127249

Markus Viljanen, Tapio Pahikkala, Antti Airola

Publication date: 20 April 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2009.01054

zbMATH Keywords

kernel methodspairwise learninginteraction predictionpairwise kernels

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• R
• PROSITE
• rcdk
• rpubchem
• RLScore

Cites Work

• The commutation matrix: Some properties and applications
• Learning intransitive reciprocal relations with kernel methods
• Symmetry and antisymmetry properties of optimal solutions to regression problems
• An efficient algorithm for learning to rank from preference graphs
• Multi-target prediction: a unifying view on problems and methods
• Efficient regularized least-squares algorithms for conditional ranking on relational data
• Learning to Rank for Information Retrieval
• GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems
• On direct product matrices
• A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression
• Machine Learning: ECML 2004
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