Distributed Information-Theoretic Metric Learning in Apache Spark.
Yuxin SuHaiqin YangIrwin KingMichael R. LyuPublished in: IJCNN (2016)
Keyphrases
- information theoretic
- metric learning
- information theory
- mutual information
- distance metric
- distance metric learning
- theoretic framework
- semi supervised
- information bottleneck
- information theoretic measures
- pairwise
- learning tasks
- multi task
- mahalanobis metric
- kernel matrix
- distance function
- dimensionality reduction
- multiple features
- semi supervised learning
- mahalanobis distance
- feature space
- neural network
- learning problems
- euclidean distance
- training data
- machine learning
- jensen shannon