If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

The Trump administration is considering a set of proposals developed by Blackwater founder Erik Prince and a retired CIA officer — with assistance from Oliver North, a key figure in the Iran-Contra ...

Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at least 15 minutes. International stock ...

This work leverages recent advances in probabilistic machine learning to discover governing equations expressed by parametric linear operators. Such equations involve, but are not limited to, ordinary ...

Abstract: A linear combination between two intersymbol interference (ISI) free parametric linear pulses was proposed in order to obtain a new family of Nyquist pulses. The new family of pulses is ...

Abstract: Quantization is an effective method for compressing Deep Neural Networks. Now, it is considered to accelerate the traditional HPC applications. In this article, we present a quantization ...

Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States Energy Storage Research Alliance, Argonne National Laboratory, 9700 South Cass ...

This project implements linear regression from scratch, using only Python and math — no machine learning libraries like scikit-learn are used. It's a great educational example of how linear regression ...