| 2006 |
|---|
| 20 | EE | Manu Chhabra,
Robert A. Jacobs:
Properties of Synergies Arising from a Theory of Optimal Motor Behavior.
Neural Computation 18(10): 2320-2342 (2006) |
| 19 | EE | Melchi M. Michel,
Robert A. Jacobs:
The Costs of Ignoring High-Order Correlations in Populations of Model Neurons.
Neural Computation 18(3): 660-682 (2006) |
| 2003 |
|---|
| 18 | EE | Melissa Dominguez,
Robert A. Jacobs:
Developmental Constraints Aid the Acquisition of Binocular Disparity Sensitivities.
Neural Computation 15(1): 161-182 (2003) |
| 17 | EE | Robert A. Jacobs,
Melissa Dominguez:
Visual Development and the Acquisition of Motion Velocity Sensitivities.
Neural Computation 15(4): 761-781 (2003) |
| 16 | EE | Volodymyr Ivanchenko,
Robert A. Jacobs:
A Developmental Approach Aids Motor Learning.
Neural Computation 15(9): 2051-2065 (2003) |
| 2002 |
|---|
| 15 | EE | Robert A. Jacobs,
Melissa Dominguez:
Visual Development Aids the Acquisition of Motion Velocity Sensitivities.
NIPS 2002: 75-82 |
| 14 | EE | Robert A. Jacobs,
Wenxin Jiang,
Martin A. Tanner:
Factorial Hidden Markov Models and the Generalized Backfitting Algorithm.
Neural Computation 14(10): 2415-2437 (2002) |
| 2001 |
|---|
| 13 | | Melissa Dominguez,
Robert A. Jacobs:
Visual Development and the Acquisition of Binocular Disparity Sensitivities.
ICML 2001: 114-121 |
| 1999 |
|---|
| 12 | | I. Fine,
Robert A. Jacobs:
Modeling the Combination of Motion, Stereo, and Vergence Angle Cues to Visual Depth.
Neural Computation 11(6): 1297-1330 (1999) |
| 1997 |
|---|
| 11 | EE | Robert A. Jacobs:
Bias/Variance Analyses of Mixtures-of-Experts Architectures.
Neural Computation 9(2): 369-383 (1997) |
| 10 | EE | Robert A. Jacobs,
Fengchun Peng,
Martin A. Tanner:
A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures.
Neural Networks 10(2): 231-241 (1997) |
| 1995 |
|---|
| 9 | EE | Robert A. Jacobs:
Methods for combining experts' probability assessments.
Neural Computation 7(5): 867-888 (1995) |
| 1994 |
|---|
| 8 | | Robert A. Jacobs,
Stephen M. Kosslyn:
Encoding Shape and Spatial Relations: The Role of Receptive Field Size in Coordinating Complementary Representations.
Cognitive Science 18(3): 361-386 (1994) |
| 1993 |
|---|
| 7 | | Michael I. Jordan,
Robert A. Jacobs:
Supervised Learning and Divide-and-Conquer: A Statistical Approach.
ICML 1993: 159-166 |
| 6 | | Robert A. Jacobs,
Michael I. Jordan,
Andrew G. Barto:
Task Decompostiion Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks.
Machine Learning: From Theory to Applications 1993: 175-202 |
| 1991 |
|---|
| 5 | EE | Michael I. Jordan,
Robert A. Jacobs:
Hierarchies of Adaptive Experts.
NIPS 1991: 985-992 |
| 4 | | Robert A. Jacobs,
Michael I. Jordan,
Andrew G. Barto:
Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks.
Cognitive Science 15(2): 219-250 (1991) |
| 1990 |
|---|
| 3 | EE | Robert A. Jacobs,
Michael I. Jordan:
A Competitive Modular Connectionist Architecture.
NIPS 1990: 767-773 |
| 1989 |
|---|
| 2 | EE | Michael I. Jordan,
Robert A. Jacobs:
Learning to Control an Unstable System with Forward Modeling.
NIPS 1989: 324-331 |
| 1988 |
|---|
| 1 | EE | Robert A. Jacobs:
Increased rates of convergence through learning rate adaptation.
Neural Networks 1(4): 295-307 (1988) |
