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» Complexity Analysis of Weak Multitolerance
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105
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JCNS
2000
165views more  JCNS 2000»
14 years 9 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
ICPR
2008
IEEE
15 years 3 months ago
Grading nuclear pleomorphism on histological micrographs
A mainstay in cancer diagnostics is the classification or grading of cell nuclei based on their appearance. While the analysis of cytological samples has been automated successful...
Eric Cosatto, Matthew Miller, Hans Peter Graf, Joh...
STOC
2000
ACM
174views Algorithms» more  STOC 2000»
15 years 1 months ago
Noise-tolerant learning, the parity problem, and the statistical query model
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Avrim Blum, Adam Kalai, Hal Wasserman
ICC
2008
IEEE
134views Communications» more  ICC 2008»
15 years 4 months ago
Secret Little Functions and Codebook for Protecting Users from Password Theft
—In this paper, we discuss how to prevent users’ passwords from being stolen by adversaries. We propose differentiated security mechanisms in which a user has the freedom to ch...
Yang Xiao, Chung-Chih Li, Ming Lei, Susan V. Vrbsk...
102
Voted
COLT
2000
Springer
15 years 1 months ago
PAC Analogues of Perceptron and Winnow via Boosting the Margin
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...
Rocco A. Servedio