DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems.
Vincent GriponCarlos LassanceGhouthi Boukli HacenePublished in: CoRR (2020)
Keyphrases
- learning problems
- associative memory
- supervised learning
- learning machines
- kernel methods
- learning tasks
- training and test data
- machine learning algorithms
- learning algorithm
- machine learning
- sample complexity
- semi supervised learning
- reinforcement learning
- multi task
- kernel function
- training set
- convex optimization problems
- alpha beta
- computational learning theory
- multiple kernel learning
- real world
- unlabeled data
- unsupervised learning
- mathematical programming
- auto associative