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Found 4 papers, 3 papers with code
S-RASTER: Contraction Clustering for Evolving Data Streams
RASTER exhibits very competitive performance compared to standard clustering algorithms, but at the cost of decreased precision.
Contraction Clustering (RASTER): A Very Fast Big Data Algorithm for Sequential and Parallel Density-Based Clustering in Linear Time, Constant Memory, and a Single Pass
Clustering is an essential data mining tool for analyzing and grouping similar objects.
Functional Federated Learning in Erlang (ffl-erl)
Thus, Erlang may be a viable alternative to C for some practical machine learning tasks.
Programming Languages
Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence
The images from the game provide a non trivial environment for the agents to discuss and a natural grounding for the concepts they decide to encode in their communication.
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