A Novel Criterion for Classifiers Combination in Multistream Speech Recognition

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One of the most classical results in high-dimensional learning theory provides a closed-form expression for the generalisation error of binary classification with a single-layer teacher-student perceptron on i.i.d. Gaussian inputs. Both Bayes-optimal (BO) ...

The interpretation of lung auscultation is highly subjective and relies on non-specific nomenclature. Computer-aided analysis has the potential to better standardize and automate evaluation. We used 35.9 hours of auscultation audio from 572 pediatric outpa ...

The next generation of high-energy physics (HEP) detectors will predominantly be silicon-based. As pixel sensor technology gains momentum and the number of channels surpasses one billion (for a volume of approximately 20 m3) to achieve the high resolution ...

Photoplethysmography (PPG) is a widely emerging method to assess vascular health in humans. The origins of the signal of reflective PPG on peripheral arteries have not been thoroughly investigated. We aimed to identify and quantify the optical and biomecha ...

Non-convex constrained optimization problems have become a powerful framework for modeling a wide range of machine learning problems, with applications in k-means clustering, large- scale semidefinite programs (SDPs), and various other tasks. As the perfor ...

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We study the problem of estimating an unknown function from noisy data using shallow ReLU neural networks. The estimators we study minimize the sum of squared data-fitting errors plus a regularization term proportional to the squared Euclidean norm of the ...

A rank-adaptive integrator for the approximate solution of high-order tensor differential equations by tree tensor networks is proposed and analyzed. In a recursion from the leaves to the root, the integrator updates bases and then evolves connection tenso ...

A Novel Criterion for Classifiers Combination in Multistream Speech Recognition

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On the fast assemblage of finite element matrices with application to nonlinear heat transfer problems

Robust Collaborative Learning with Linear Gradient Overhead

Robust Outlier Rejection for 3D Registration with Variational Bayes

Biobased surfactants

Learning curves for the multi-class teacher-student perceptron

DeepBreath-automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

Radiation-tolerant Multichannel Dew Point Temperature Monitoring System for High Energy Physics Applications

Quantification of the Phenomena Affecting Reflective Arterial Photoplethysmography

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Distributionally Robust Linear Quadratic Control

Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks

Rank-Adaptive Time Integration Of Tree Tensor Networks