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90
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NIPS
1998
15 years 1 months ago
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
John C. Platt
99
Voted
NIPS
1998
15 years 1 months ago
Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape
A recent neural model of illusory contour formation is based on a distribution of natural shapes traced by particles moving with constant speed in directions given by Brownian mot...
Karvel K. Thornber, Lance R. Williams
94
Voted
NIPS
2000
15 years 1 months ago
Programmable Reinforcement Learning Agents
We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes s...
David Andre, Stuart J. Russell
NIPS
2000
15 years 1 months ago
Stability and Noise in Biochemical Switches
Many processes in biology, from the regulation of gene expression in bacteria to memory in the brain, involve switches constructed from networks of biochemical reactions. Crucial ...
William Bialek
104
Voted
NIPS
2000
15 years 1 months ago
Incremental and Decremental Support Vector Machine Learning
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
Gert Cauwenberghs, Tomaso Poggio