We represent knowledge by probability distributions of mixed continuous and discrete variables. From the joint distribution of all items, one can compute arbitrary conditional distributions, which may be used for prediction. However, in many cases only some marginal distributions, inverse probabilit
Maximum Entropy Inference and Stimulus Generalization
โ Scribed by In Jae Myung; Roger N. Shepard
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 239 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0022-2496
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