TCS Alignment Toolbox Metric Learning · This module is a custom implementation of the Large Margin Nearest Neighbor classification scheme of Weinberger, Saul, et al. (2009). It contains an implementation of the k-nearest neighbor and LMNN classifier as well as (most importantly) gradient calculation schemes on the LMNN cost function given a sequential data set and a user-choice of alignment algorithm. This enables users to learn parameters of the alignment distance in question using a gradient descent on the LMNN cost function. More information on this approach can be found in the Masters Thesis "Adaptive Affine Sequence Alignment Using Algebraic Dynamic Programming"

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Version		Vulnerabilities	Size	Updated
3.1.x	learning-3.1.1.jar		20.56 KB	Oct 26, 2018
	learning-3.1.0.jar		20.56 KB	May 22, 2018
3.0.x	learning-3.0.1.jar		20.55 KB	Dec 06, 2016
	learning-3.0.0.jar		20.62 KB	Jun 09, 2016
2.1.x	learning-2.1.2.jar		21.73 KB	Jul 23, 2015
	learning-2.1.1.jar		22.20 KB	Jul 16, 2015
	learning-2.1.0.jar		22.20 KB	Jul 08, 2015

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de.citec.tcs.alignment.learning

├─ de.citec.tcs.alignment.learning.AbstractDissimilarityClassifier.class - [JAR]

├─ de.citec.tcs.alignment.learning.DissimilarityClassifier.class - [JAR]

├─ de.citec.tcs.alignment.learning.DistanceIndex.class - [JAR]

├─ de.citec.tcs.alignment.learning.KNNClassifier.class - [JAR]

├─ de.citec.tcs.alignment.learning.LMNNClassifier.class - [JAR]

├─ de.citec.tcs.alignment.learning.LMNNGradientCalculator.class - [JAR]