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Feature selection

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Feature selection

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Towards a supervised classification of neocortical interneuron morphologies

Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network

The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign - I. Overview and classification of candidates selected by two techniques

Deep Feature Factorization for Concept Discovery

Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces

Feature optimization for atomistic machine learning yields a data-driven construction of the periodic table of the elements

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

Robust Maximization of Non-Submodular Objectives

Multilingual bottleneck features for subword modeling in zero-resource languages

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces

Feature optimization for atomistic machine learning yields a data-driven construction of the periodic table of the elements

Towards a supervised classification of neocortical interneuron morphologies

Robust Maximization of Non-Submodular Objectives

Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network

Deep Feature Factorization for Concept Discovery

Multilingual bottleneck features for subword modeling in zero-resource languages

The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign - I. Overview and classification of candidates selected by two techniques