Contributions to Decentralized and Privacy-Preserving Machine ...
This paper studies a method to obtain sparseness and structure detection for a class of kernel machines related to Least Squares Support ...
APPROXIMATION OF LIMIT STATE SURFACES IN MONOTONIC ...Abstract. Sum-of-norms clustering is a popular convexification of K-means clustering. We show that, if the dataset is made of a large number of independent ... Assuring Safety under Uncertainty in Learning-Based Control SystemsWe present a clustered personal classifier method (CPC method) that jointly estimates a classifier and clusters of workers in order to address the learning ... Sum-of-norms clustering does not separate nearby ballsPlease check the document version of this publication: ? A submitted manuscript is the version of the article upon submission and before ...
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