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» On learning with dissimilarity functions
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2010
Tsinghua U.
16 years 4 months ago
Distribution-Specific Agnostic Boosting
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
Vitaly Feldman
DIGITEL
2007
IEEE
16 years 1 months ago
A Brief Survey of Distributed Computational Toys
Distributed Computational Toys are physical artifacts that function based on the coordination of more than one computing device. Often, these toys take the form of a microcontroll...
Eric Schweikardt, Mark D. Gross
AGILEDC
2006
IEEE
16 years 26 days ago
Executable Acceptance Tests for Communicating Business Requirements: Customer Perspective
Using an experimental method, we found that customers, partnered with an IT professional, are able to use executable acceptance test (storytest)-based specifications to communicat...
Grigori Melnik, Frank Maurer, Mike Chiasson
ICICIC
2006
IEEE
16 years 25 days ago
An Edge-Driven Total Variation Approach to Image Deblurring and Denoising
Traditional nonlinear filtering techniques are observed in underutilization of blur identification techniques, and vice versa. To improve blind image restoration, a designed edg...
Hongwei Zheng, Olaf Hellwich
IJCNN
2000
IEEE
15 years 11 months ago
Support Vector Machine for Regression and Applications to Financial Forecasting
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
Theodore B. Trafalis, Huseyin Ince