| 2008 |
|---|
| 7 | EE | Daniel J. Navarro,
Thomas L. Griffiths:
Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach.
Neural Computation 20(11): 2597-2628 (2008) |
| 2006 |
|---|
| 6 | EE | Daniel J. Navarro,
Thomas L. Griffiths:
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments.
NIPS 2006: 1033-1040 |
| 5 | EE | Michael D. Lee,
Ian G. Fuss,
Daniel J. Navarro:
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time.
NIPS 2006: 809-816 |
| 2004 |
|---|
| 4 | EE | Daniel J. Navarro:
A Note on the Applied Use of MDL Approximations.
Neural Computation 16(9): 1763-1768 (2004) |
| 2003 |
|---|
| 3 | EE | Woojae Kim,
Daniel J. Navarro,
Mark A. Pitt,
In Jae Myung:
An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science.
NIPS 2003 |
| 2002 |
|---|
| 2 | EE | Daniel J. Navarro,
Michael D. Lee:
Combining Dimensions and Features in Similarity-Based Representations.
NIPS 2002: 59-66 |
| 2000 |
|---|
| 1 | EE | Douglas Vickers,
Daniel J. Navarro,
Michael D. Lee:
Towards a transformational approach to perceptual organization.
KES 2000: 325-328 |
