Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: In this paper, an importance sampling maximum likelihood (ISML) estimator for direction-of-arrival (DOA) of incoherently distributed (ID) sources is proposed. Starting from the maximum ...

Abstract: This study is focused on addressing the dynamic event-triggered distributed state and unknown parameter estimation problem for discrete-time nonlinear systems that have known linear dynamics ...

Or, if you prefer, you can use the "Download Zip" button available through the main repository page. Downloading the project as a .ZIP file will keep the size of the ...

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

Objectives To derive sex-specific peak oxygen uptake (VO 2peak) reference equations for cycle ergometer cardiopulmonary exercise testing (CPET) that integrate estimations of lean body mass (eLBM) and ...

Background Despite progress in reducing global maternal mortality in recent decades, low- and lower-middle-income countries ...

For an academic researcher who first trained as a philosopher, then as a psychologist, Robyn Dawes was a practical fellow. He would tell a story from his time working in a psychiatric ward in the ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

Fine-scale exogenous attention within the foveola selectively enhances contrast gain at low-to-mid spatial frequencies while increasing response gain across a broad spatial frequency range.

Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...