Dave Shepard
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View article: Morphism-Based Learning for Structured Data
Morphism-Based Learning for Structured Data Open
In mathematics, morphism is a term that indicates structure-preserving mappings between mathematical structures of the same type. Linear transformations for linear spaces, homomorphisms for algebraic structures and continuous functions for…
View article: Twitter Topic Progress Visualization using Micro-clustering
Twitter Topic Progress Visualization using Micro-clustering Open
View article: sCwc/sLcc: Highly Scalable Feature Selection Algorithms
sCwc/sLcc: Highly Scalable Feature Selection Algorithms Open
Feature selection is a useful tool for identifying which features, or attributes, of a dataset cause or explain the phenomena that the dataset describes, and improving the efficiency and accuracy of learning algorithms for discovering such…