Learning context-dependent choice functions

DOI10.1016/j.ijar.2021.10.002OpenAlexW3205259120MaRDI QIDQ2069057

Eyke Hüllermeier, Karlson Pfannschmidt, Pritha Gupta, Björn Haddenhorst

Publication date: 20 January 2022

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1901.10860

zbMATH Keywords

neural networkschoice functionspreference learningcontext-dependence

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

On the Estimation of Discrete Choice Models to Capture Irrational Customer Behaviors

Uses Software

• Scikit
• PyMC
• MNIST
• ASlib
• Keras
• AdaGrad
• MovieLens
• LETOR
• scikit-optimize

Cites Work

• ASlib: a benchmark library for algorithm selection
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• Anonymous, neutral, and resolute social choice revisited
• Advanced conjoint analysis using feature selection via support vector machines
• A Survey and Empirical Comparison of Object Ranking Methods
• Discrete Choice Methods with Simulation
• NON-NULL RANKING MODELS. I
• Preference Learning
• Context-Dependent Preferences
• A new partitioning around medoids algorithm
• Rationalizing Choice Functions By Multiple Rationales
• Choice Functions and Revealed Preference
• Polychotomous Quantal Response in Biological Assay
• Multistage Ranking Models
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