Book Chapter10.1007/978-1-4757-2440-0_6
Constructing Learning Algorithms
Vladimir Vapnik
- 01 Jan 1995
- pp 119-166
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TL;DR: To implement the SRM inductive principle in learning algorithms one has to minimize the risk in a given set of functions by controlling two factors: thevalue of the empirical risk and the value of the confidence interval.
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Abstract: To implement the SRM inductive principle in learning algorithms one has to minimize the risk in a given set of functions by controlling two factors: the value of the empirical risk and the value of the confidence interval.
read more
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- 18 Jan 2018
TL;DR: The article describes a new classification method based on neural-like structures of Geometric Transformations Model (local and global approaches) and compares their result with the obtained results.
33
Leaf Recognition Based on Elliptical Half Gabor and Maximum Gap Local Line Direction Pattern
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