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12/22/2022
Federated Learning – Methods, Applications and beyond
In recent years the applications of machine learning models have increas...
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12/18/2021
Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective
Matrix approximations are a key element in large-scale algebraic machine...
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08/31/2020
Complex-valued embeddings of generic proximity data
Proximities are at the heart of almost all machine learning methods. If ...
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07/11/2020
Transfer learning extensions for the probabilistic classification vector machine
Transfer learning is focused on the reuse of supervised learning models ...
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07/10/2020
Reactive Soft Prototype Computing for Concept Drift Streams
The amount of real-time communication between agents in an information s...
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07/02/2019