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Found 3 papers, 1 papers with code
Scalable variable selection for two-view learning tasks with projection operators
With the projection operators the relationship, correlation, between sets of input and output variables can also be expressed by kernel functions, thus nonlinear correlation models can be exploited as well.
On the generalization of Tanimoto-type kernels to real valued functions
The Tanimoto kernel (Jaccard index) is a well known tool to describe the similarity between sets of binary attributes.
A Solution for Large Scale Nonlinear Regression with High Rank and Degree at Constant Memory Complexity via Latent Tensor Reconstruction
For learning the models, we present an efficient gradient-based algorithm that can be implemented in linear time in the sample size, order, rank of the tensor and the dimension of the input.
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