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Found 4 papers, 1 papers with code
Autonomous Cross Domain Adaptation under Extreme Label Scarcity
This paper aims to attack the problem of extreme label shortage in the cross domain multistream classification problems where only very few labelled samples of the source stream are provided before process runs.
Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams
The large-scale data stream problem refers to high-speed information flow which cannot be processed in scalable manner under a traditional computing platform.
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples
The advantage of NADINE, namely elastic structure and online learning trait, is numerically validated using nine data stream classification and regression problems where it demonstrates performance improvement over prominent algorithms in all problems.
Evolving Large-Scale Data Stream Analytics based on Scalable PANFIS
Extensive experiments on this framework are validated by measuring the accuracy and running time of four combinations of Scalable PANFIS and other Spark-based built in algorithms.
