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Perceptron

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Chemical machine learning with kernels: The impact of loss functions

Classification of Healthy and Cancer States of Colon Epithelial Tissues Using Opto-magnetic Imaging Spectroscopy

A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization

Distributed Value-Function Learning with Linear Convergence Rates

An artificial neural network as a troubled-cell indicator

Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation

Non-intrusive reduced order modeling of nonlinear problems using neural networks

Learning to Find Good Correspondences

Learning to Find Good Correspondences

On Learning to Identify Genders from Raw Speech Signal Using CNNs

Classification of Healthy and Cancer States of Colon Epithelial Tissues Using Opto-magnetic Imaging Spectroscopy

A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization

Chemical machine learning with kernels: The impact of loss functions

Distributed Value-Function Learning with Linear Convergence Rates

An artificial neural network as a troubled-cell indicator

Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation

Non-intrusive reduced order modeling of nonlinear problems using neural networks

Learning to Find Good Correspondences

On Learning to Identify Genders from Raw Speech Signal Using CNNs

Learning to Find Good Correspondences