Similarity, kernels, and the fundamental constraints on cognition

DOI10.1016/j.jmp.2015.11.004zbMath1354.68227OpenAlexW2225688969MaRDI QIDQ256393

Shimon Edelman, Rajeev Raizada, Reza Shahbazi

Publication date: 9 March 2016

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2015.11.004

zbMATH Keywords

complexitydimensionalitysimilaritynonlinearkernellinear separabilityRKHS

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Memory and learning in psychology (91E40)

Uses Software

• ImageNet
• AlexNet
• PRMLT

Cites Work

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• Kernels as features: on kernels, margins, and low-dimensional mappings
• A study of graph spectra for comparing graphs and trees
• Causal inference in statistics: an overview
• Support-vector networks
• Regularization networks and support vector machines
• Large margin classification using the perceptron algorithm
• A tutorial on kernel methods for categorization
• Theoretical foundations of the potential function method in pattern recognition learning
• Prototype selection for dissimilarity-based classifiers
• Toward a Universal Law of Generalization for Psychological Science
• 10.1162/15324430260185556
• An optimal algorithm for approximate nearest neighbor searching fixed dimensions
• Extensions of Lipschitz mappings into a Hilbert space
• Learnability and the Vapnik-Chervonenkis dimension
• A Hilbert Space Embedding for Distributions
• Planar Languages and Learnability
• Similarity estimation techniques from rounding algorithms
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Improving Shape Retrieval by Spectral Matching and Meta Similarity
• Indefinite Proximity Learning: A Review
• Enumeration of Seven-Argument Threshold Functions
• Nearest neighbor pattern classification
• A formal theory of inductive inference. Part I

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