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- Michael I. Jordan, Robert A. Jacobs
- Neural Computation
- 1994

We present a tree-structured architecture for supervised learning. The statistical model underlying the architecture is a hierarchical mixture model in which both the mixture coefficients and theâ€¦ (More)

- Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan, Geoffrey E. Hinton
- Neural Computation
- 1991

We present a new supervised learning procedure for systems composed of many separate networks, each of which learns to handle a subset of the complete set of training cases. The new procedure can beâ€¦ (More)

- Robert A. Jacobs
- Neural Networks
- 1988

While there exist many techniques for finding the parameters that minimize an error function, only those methods that solely perform local computations are used in connectionist networks. The mostâ€¦ (More)

- Robert A. Jacobs, Michael I. Jordan, Andrew G. Barto
- Cognitive Science
- 1991

A novel modular connectionist architecture is presented in which the networks composing the architecture compete to learn the training potterns. An outcome of the competition is that differentâ€¦ (More)

- Robert A. Jacobs
- Neural Computation
- 1995

This article reviews statistical techniques for combining multiple probability distributions. The framework is that of a decision maker who consults several experts regarding some events. The expertsâ€¦ (More)

- Peter W. Battaglia, Robert A. Jacobs, Richard N. Aslin
- Journal of the Optical Society of America. Aâ€¦
- 2003

Human observers localize events in the world by using sensory signals from multiple modalities. We evaluated two theories of spatial localization that predict how visual and auditory information areâ€¦ (More)

- Robert A. Jacobs
- Neural Computation
- 1997

This article investigates the bias and variance of mixtures-of-experts (ME) architectures. The variance of an ME architecture can be expressed as the sum of two terms: the first term is related toâ€¦ (More)

- Michael I. Jordan, Robert A. Jacobs
- NIPS
- 1991

In this paper we present a neural network architecture that discovers a recursive decomposition of its input space. Based on a generalization of the modular architecture of Jacobs, Jordan, Nowlan,â€¦ (More)

- Robert A. Jacobs
- Vision Research
- 1999

We report the results of a depth-matching experiment in which subjects were asked to adjust the height of an ellipse until it matched the depth of a simulated cylinder defined by texture and motionâ€¦ (More)

- Meghan A Clayards, Michael K. Tanenhaus, Richard N. Aslin, Robert A. Jacobs
- Cognition
- 2008

Listeners are exquisitely sensitive to fine-grained acoustic detail within phonetic categories for sounds and words. Here we show that this sensitivity is optimal given the probabilistic nature ofâ€¦ (More)