Ohio University’s Honors Tutorial College (HTC) has been awarded a nearly $50,000 Capacity Building Grant from the Educating Character Initiative (ECI), which is part of the Program for Leadership and ...
Garage door openers: Don’t leave home without one. Unless, of course, you don’t have a garage. These remotes can be used again and again and reprogrammed as often as you need. You can also buy ...
Don't miss the big stories. Like us on Facebook. BENNINGTON — The Tutorial Center will pilot a new evening education initiative, the “Working Learner” Program, at it's Bennington location beginning on ...
Probabilistic programming is an approach to computing based on the idea that probabilistic models can be naturally and efficiently represented as executable code. This idea has enabled researchers to ...
Probabilistic programming languages (PPLs) have emerged as a transformative tool for expressing complex statistical models and automating inference procedures. By integrating probability theory into ...
Abstract: Causal inference is an important field in data science and cognitive artificial intelligence. It requires the construction of complex probabilistic models to describe the causal ...
Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...
ABSTRACT: Statistical biases may be introduced by imprecisely quantifying background radiation reference levels. It is, therefore, imperative to devise a simple, adaptable approach for precisely ...
This tutorial will introduce a new paradigm for agent-based models (ABMs) that leverages automatic differentiation (AD) to efficiently compute simulator gradients. In particular, this tutorial will ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results