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Multidimensional scaling
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Classroom Contents
Evaluating Neural Network Representations Against Human Cognition
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- 1 Intro
- 2 Categorization
- 3 Family resemblance
- 4 Prototypes vs. exemplars
- 5 Psychological spaces
- 6 Multidimensional scaling
- 7 Features not spaces
- 8 Violation of triangle inequality
- 9 Objectives
- 10 Convolutional neural networks
- 11 Collecting similarity judgments
- 12 Prediction performance
- 13 Hierarchical clustering
- 14 A basis for human representations
- 15 Birds vs. Planes
- 16 Category representations
- 17 Vector space models
- 18 Objections to spatial representations
- 19 Word association
- 20 The inadequacy of the cosine
- 21 Testing the parallelogram model
- 22 Testing on a wide range of relations
- 23 Human relational similarity judgments
- 24 Asymmetry in analogies
- 25 Violations of the triangle inequality
- 26 Conclusions
