Fast learning of relational kernels
type: Item
instance of: scholarly article
title: Fast learning of relational kernels
zbMATH Open document ID: 1470.68129
author: Niels Landwehr
author: Andrea Passerini
author: Luc De Raedt
author: Paolo Frasconi
published in: Machine Learning
publication date: 2010-10-07T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 46E22
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 68N17
zbMATH DE Number: 5796849
zbMATH Keywords: statistical relational learning
zbMATH Keywords: inductive logic programming
zbMATH Keywords: kernel methods
zbMATH Keywords: dynamic propositionalization
zbMATH Keywords: kernel learning
zbMATH Keywords: multi-task learning
describes a project that uses: gBoost
describes a project that uses: FORS
describes a project that uses: Pegasos
describes a project that uses: kFOIL
describes a project that uses: nFOIL
MaRDI profile type: Publication
full work available at URL: s10994-009-5163-1
OpenAlex ID: W2110668981
cites work: Convexity, Classification, and Risk Bounds
cites work: 10.1162/153244303321897681
cites work: Top-down induction of first-order logical decision trees
cites work: Q3093310
cites work: Q3096164
cites work: Choosing multiple parameters for support vector machines
cites work: On the mathematical foundations of learning
cites work: Q3093291
cites work: Inductive Logic Programming
cites work: Logical and Relational Learning
cites work: Q4826695
cites work: Probabilistic inductive logic programming. Theory and applications
cites work: Q3093270
cites work: Feature Discovery with Type Extension Trees
cites work: Large margin classification using the perceptron algorithm
cites work: Kernels and distances for structured data
cites work: Q3510469
cites work: Robust trainability of single neurons
cites work: First order regression
cites work: A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
cites work: Q3093181
cites work: Q3174087
cites work: Q4843403
cites work: Q3992908
cites work: 10.1162/153244302760200687
cites work: Q3093293
cites work: Q3174056
cites work: Logic-based machine learning
cites work: Inductive Logic Programming: Theory and methods
cites work: Q3093346
cites work: Margin-based first-order rule learning
cites work: gBoost: a mathematical programming approach to graph classification and regression
cites work: Pegasos: primal estimated sub-gradient solver for SVM
cites work: Dealing with large diagonals in kernel matrices
DOI: 10.1007/S10994-009-5163-1
description: scientific article; zbMATH DE number 5796849