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A group-theoretic framework for data augmentation
Data augmentation is a widely used trick when training deep neural networks: in addition to
the original data, properly transformed data are also added to the training set. However, to …
the original data, properly transformed data are also added to the training set. However, to …
Stochastic replica voting machine prediction of stable cubic and double perovskite materials and binary alloys
A machine-learning approach that we term the “stochastic replica voting machine”(SRVM)
algorithm is presented and applied to a binary and a three-class classification problem in …
algorithm is presented and applied to a binary and a three-class classification problem in …
An online stochastic kernel machine for robust signal classification
RG Raj - 2019 53rd Asilomar Conference on Signals, Systems …, 2019 - ieeexplore.ieee.org
We present a novel variation of online kernel machines in which we exploit a consensus
based optimization mechanism to guide the evolution of decision functions drawn from a …
based optimization mechanism to guide the evolution of decision functions drawn from a …
Matched Products and Dynamical Models for Multiplex Networks
DR DeFord - 2018 - search.proquest.com
MATCHED PRODUCTS AND DYNAMICAL MODELS FOR MULTIPLEX NETWORKS A
Thesis Submitted to the Faculty in partial fulfillment of the req Page 1 MATCHED …
Thesis Submitted to the Faculty in partial fulfillment of the req Page 1 MATCHED …