Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Abstract: This paper is concerned with the problem of policy evaluation with linear function approximation in discounted infinite horizon Markov decision processes ...

Sometimes, in genetics, two wrongs do make a right. A research team has recently shown that two harmful genetic variants, when occurring together in a gene, can restore function—proving a decades-old ...

Multi-step temporal-difference (TD) learning, where the update targets contain information from multiple time steps ahead, is one of the most popular forms of TD learning for linear function ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present an efficient two-level strategy to accelerate the solution of the CASSCF ...

There's inconsistency with referencing variables from user-defined functions: Using variable, we can reference deployment-time constant properties from resources (id, type, api-version, etc). but we ...

Scientists at deCODE genetics, a subsidiary of Amgen, reveal today in Nature Genetics associations between bipolar disorder and rare loss-of-function variants in two genes. Bipolar disorder is ...

This paper presents two sets of considerations on the use of approximations to estimate freight trip generation (FTG) and freight generation (FG) rates, based on a single variable. Following recent ...

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...