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Found 5 papers, 3 papers with code
On genetic programming representations and fitness functions for interpretable dimensionality reduction
We find that various GP methods can be competitive with state-of-the-art DR algorithms and that they have the potential to produce interpretable DR mappings.
Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition
Spacecraft collision avoidance procedures have become an essential part of satellite operations.
Safe Crossover of Neural Networks Through Neuron Alignment
Indeed, naive crossover leads to functionally damaged offspring that do not retain information from the parents.
Kernel Mean Embedding of Instance-wise Predictions in Multiple Instance Regression
In this paper, we propose an extension to an existing algorithm (instance-MIR) which tackles the multiple instance regression (MIR) problem, also known as distribution regression.
Learning with Sets in Multiple Instance Regression Applied to Remote Sensing
Our approach, in contrast to most competing methods, does not make the assumption that there exists a prime instance responsible for the label in each bag.
