|
275
|
ALCOVE: An exemplar-based connectionist model ot category learning
– J K Kruschke
- 1999
|
|
299
|
Attention, similarity, and the identification-Categorization Relationship
– Robert M. Nosofsky
- 1986
|
|
312
|
The adaptive character of thought
– J R Anderson
- 1990
|
|
477
|
Vision
– D Marr
- 1982
|
|
29
|
A more rational model of categorization
– Adam N. Sanborn, Thomas L. Griffiths (tom, Daniel J. Navarro
- 2006
|
|
159
|
The adaptive nature of human categorization
– John R. Anderson
- 1991
|
|
18
|
The rat as particle filter
– Nathaniel D. Daw, Aaron C. Courville, Université De Montréal
|
|
12
|
A Bayesian framework for concept learning. Unpublished doctoral dissertation, Massachussets Institute of Technology, Cambridge
– J B Tenenbaum
- 1999
|
|
110
|
A rational analysis of the selection task as optimal data selection
– Mike Oaksford, Nick Chater
- 1994
|
|
312
|
M.M.: Context theory of classification learning
– D L Medin, Schaffer
- 1978
|
|
449
|
Probabilistic Inference Using Markov Chain Monte Carlo Methods
– Radford M. Neal
- 1993
|
|
232
|
Toward a universal law of generalization for psychological science
– R Shepard
- 1987
|
|
106
|
Hierarchical Bayesian Inference in the Visual Cortex
– Tai Sing Lee, David Mumford
- 2002
|
|
159
|
Individual Choice Behavior
– R Luce
- 1959
|
|
43
|
Categorization as probability density estimation
– F G Ashby, L A Alfonso-Reese
- 1995
|
|
10
|
Optimal Predictions in Everyday Cognition: The Wisdom of Individuals or Crowds?
– Harold Pashler, Michael C. Mozer, Hadjar Homaei
- 2008
|
|
19
|
Modeling the effects of memory on human online sentence . . .
– Roger Levy, Florencia Reali, Thomas L. Griffiths
|
|
17
|
Detecting and predicting changes
– Scott D. Brown , Mark Steyvers
- 2009
|
|
62
|
The perceptual magnet effect as an emergent property of neural map formation
– Frank H. Guenther, Marin N. Gjaja
- 1996
|
