Amy Perfors

Artificial Intelligence · 2006–2010

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Developmental and Educational Psychology — 10 citations into it
• Linguistics — 9 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it

Whom Amy Perfors trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Brian MacWhinney
2. John D. Lewis
3. Jeffrey L. Elman
4. Linda B. Smith
5. Massimo Piattelli-Palmarini
6. David H. Ackley
7. S. Jones
8. Geoffrey E. Hinton
9. Geoffrey K. Pullum
10. Josh Tenenbaum

Who trusts Amy Perfors overall

1. Josh Tenenbaum
2. Charles Kemp
3. Timothy T. Rogers

Papers from Amy Perfors's perspective

Ordered by how strongly the researchers Amy Perfors trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Learning Algorithm for Boltzmann Machines
2. Concepts, Kinds, and Cognitive Development
3. The importance of shape in early lexical learning
4. Principles of Object Perception
5. Word and Object
6. Language and Learning: The Debate Between Jean Piaget and Noam Chomsky
7. Acquiring a Single New Word
8. The CHILDES project: tools for analyzing talk
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Word learning in children: an examination of fast mapping.

Their papers

• Learning overhypotheses with hierarchical Bayesian models. (2007) — 69 citations
• Probabilistic models of cognition: exploring representations and inductive biases. (2010) — 570 citations
• Poverty of the Stimulus? A Rational Approach (2006) — 112 citations