Competition and Multiple Cause Models

If different causes can interact on any occasion to generate a set of patterns, then systems modeling the generation have to model the interaction too. We discuss a way of combining multiple causes that is based on the Integrated Segmentation and Recognition architecture of Keeler et al. (1991). It is more cooperative than the scheme embodied in the mixture of experts architecture, which insists that just one cause generate each output, and more competitive than the noisy-or combination function, which was recently suggested by Saund (1994a,b). Simulations confirm its efficacy.

[1]  W. H. Thorpe,et al.  Current problems in animal behaviour , 1962 .

[2]  H. B. Barlow,et al.  Finding Minimum Entropy Codes , 1989, Neural Computation.

[3]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[4]  James D. Keeler,et al.  Integrated Segmentation and Recognition of Hand-Printed Numerals , 1990, NIPS.

[5]  Michael I. Jordan,et al.  Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks , 1990, Cogn. Sci..

[6]  Geoffrey E. Hinton,et al.  Adaptive Mixtures of Local Experts , 1991, Neural Computation.

[7]  Terrence J. Sejnowski,et al.  Filter Selection Model for Generating Visual Motion Signals , 1992, NIPS.

[8]  Jürgen Schmidhuber,et al.  Learning Factorial Codes by Predictability Minimization , 1992, Neural Computation.

[9]  Geoffrey E. Hinton,et al.  Autoencoders, Minimum Description Length and Helmholtz Free Energy , 1993, NIPS.

[10]  Eric Saund Unsupervised Learning of Mixtures of Multiple Causes in Binary Data , 1993, NIPS.

[11]  R. Zemel A minimum description length framework for unsupervised learning , 1994 .

[12]  Terrence J. Sejnowski,et al.  Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex , 1994, NIPS.

[13]  Geoffrey E. Hinton,et al.  The Helmholtz Machine , 1995, Neural Computation.

[14]  Eric Saund,et al.  A Multiple Cause Mixture Model for Unsupervised Learning , 1995, Neural Computation.

[15]  Geoffrey E. Hinton,et al.  Varieties of Helmholtz Machine , 1996, Neural Networks.

[16]  Rajesh P. N. Rao,et al.  Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex , 1997, Neural Computation.