Advances in Neural Information Processing Systems 14: by Thomas Diettrich, Suzanna Becker, Zoubin Ghahramani

By Thomas Diettrich, Suzanna Becker, Zoubin Ghahramani

The annual convention on Neural details Processing platforms (NIPS) is the flagship convention on neural computation. The convention is interdisciplinary, with contributions in algorithms, studying thought, cognitive technological know-how, neuroscience, imaginative and prescient, speech and sign processing, reinforcement studying and keep watch over, implementations, and various purposes. simply approximately 30 percentage of the papers submitted are accredited for presentation at NIPS, so the standard is outstandingly excessive. those complaints include all the papers that have been provided on the 2001 conference.

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Additional info for Advances in Neural Information Processing Systems 14: Proceedings of the 2001 Neural Information Processing Systems (NIPS) Conference (2 Volume Set)

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The insights that emerged led directly into the natural world - the shapes of clouds, the patterns of lightning, the microscopic interweaving of blood vessels, the galactic clustering of stars. 2 When Mitchell Feigenbaum began thinking about chaos, he was one of a handful of scattered scientists, mostly unknown to one another. A decade later, chaos had become a shorthand name for a fast-growing movement that is reshaping the fabric of the scientific establishment. At every major university and corporate research center some theorists ally themselves first with 30 Soft Logic chaos and only second with their nominal specialties.

The numbers that were aberrations from the point of view of normal distribution produced symmetry from the point of view of scaling. Each particular price change was random and unpredictable but the sequence of changes was independent of scale; curves for daily price changes and monthly price changes matched perfectly. Incredibly, analyzed Mandelbrot's way, the degree of variation in prices has renlained constant over a tumultuous sixty-year period that saw two world wars and a depression. Within the most disorderly reams of data lived an unexpected kind of order.

Fuzzy cognitive images help us to see the big picture and do something with it. They thrive on feedback and they show globaJ patterns, but as the fuzzy cognitive maps grow more complex, the hidden patterns become harder to see. They lay bare our beliefs and biases and our grasp of the world. Thus, the fuzzy cognitive map gives us a new way to represent knowledge. Philosophically interesting terms such as life invariably are fuzzy, as they shade smoothly into not-life or death. The either-or choice lies at the heart of the abortion debate.

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