Training a Probabilistic Graphical Model With Resistive Switching Electronic Synapses Abstract: Current large-scale implementations of deep learning and data mining require thousands of processors, ...

A team of physicists have proposed a new cosmological model – dubbed the "black hole universe" – that suggests that our universe did not begin at the Big Bang. For a long time the universe was ...

Abstract: In this paper, we discuss software design issues related to the development of parallel computational intelligence algorithms on multi-core CPUs, using the new Java 8 functional programming ...

Stochastic modelling is the development of mathematical models for non-deterministic physical systems, which can adopt many possible behaviours starting from any given initial condition. Monte ...

Harvard Business School’s Christensen teaches aspiring MBAs how to apply management and innovation theories to build stronger companies. But he also believes that these models can help people ...

Conin interfaces with the pgmpy python library for the specification of general probabilistic graphical models. Additionally, it interfaces with a variety of optimization solvers to support learning ...

NPR's brings you news about books and authors along with our picks for great reads. Interviews, reviews, and much more.

Contribute to AltaafAlly/Probabilistic-Graphical-Model-Using-Bayesian-Networks development by creating an account on GitHub.

Topics covering particular aspects of robust parameter design, response surface optimization, mixture experiments, and a variety of new graphical approaches in RSM are also included. The main purpose ...

Whether you're considering joining the digital book revolution for the first time or simply want a new ebook reader, these are our top lab-tested picks for every type of bookworm.

A probabilistic graphical model for estimating selection coefficients of nonsynonymous variants from human population sequence data. Predicting the effects of missense variants is important in ...