Dyad ranking using Plackett-Luce models based on joint feature representations
type: Item
instance of: scholarly article
title: Dyad ranking using Plackett-Luce models based on joint feature representations
zbMATH Open document ID: 1464.62232
author: Dirk Schäfer
author: Eyke Hüllermeier
published in: Machine Learning
publication date: 2018-06-14T00:00:00Z
Mathematics Subject Classification ID: 62F07
Mathematics Subject Classification ID: 62M45
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6889052
zbMATH Keywords: preference learning
zbMATH Keywords: label ranking
zbMATH Keywords: dyad ranking
zbMATH Keywords: Plackett-Luce model
zbMATH Keywords: neural networks
zbMATH Keywords: multidimensional unfolding
describes a project that uses: L-BFGS
describes a project that uses: TensorFlow
describes a project that uses: smacof
describes a project that uses: ImageNet
describes a project that uses: UCI-ml
describes a project that uses: AlexNet
describes a project that uses: Caffe
describes a project that uses: RLScore
describes a project that uses: Caltech-256
MaRDI profile type: Publication
full work available at URL: s10994-017-5694-9
OpenAlex ID: W2783218948
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DOI: 10.1007/S10994-017-5694-9
description: scientific article; zbMATH DE number 6889052