The Rectified Gaussian Distribution
Socci, Nicholas D., Lee, Daniel D., Seung, H. Sebastian
–Neural Information Processing Systems
The variables of the rectified Gaussian are constrained to be nonnegative, enabling the use of nonconvex energy functions.Two multimodal examples, the competitive and cooperative distributions, illustrate the representational power of the rectified Gaussian. Since the cooperative distribution can represent thetranslations of a pattern, it demonstrates the potential of the rectified Gaussian for modeling pattern manifolds.
Neural Information Processing Systems
Dec-31-1998
- Country:
- North America > United States (0.29)
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- Health & Medicine > Therapeutic Area > Neurology (0.69)
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