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Found 4 papers, 1 papers with code
Theory and Algorithms for Shapelet-based Multiple-Instance Learning
We propose a new formulation of Multiple-Instance Learning (MIL), in which a unit of data consists of a set of instances called a bag.
Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers
Classifiers based on a single shapelet are not sufficiently strong for certain applications.
Boosting the kernelized shapelets: Theory and algorithms for local features
We consider binary classification problems using local features of objects.
Category of mixed plectic Hodge structures
The purpose of this article is to investigate the properties of the category of mixed plectic Hodge structures defined by Nekov\'a\v{r} and Scholl.
Algebraic Geometry 14C30
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