ABSTRACT: This work explores generative AI-enhanced text-based games for language learning. Utilizing ChatGPT, the study modifies an early version of Colossal Cave Adventure to generate contextually ...

Yu, now an associate professor at the University of California, San Diego (UCSD), is a leader in a field known as “physics-guided deep learning,” having spent years incorporating our knowledge of ...

Chomsky proposed that sentences are derived from underlying “deep structures” through transformational rules that map them onto observable “surface structures.” The thesis developed a ...

In his thesis ... to teach and link learning strategies to learning.” At the same time, his research shows that students value strategies that support shallow rather than deep learning, which ...

Standard diagnostic tests for detecting HRD require molecular profiling, which is not universally available. We trained DeepHRD, a deep learning platform for predicting HRD from hematoxylin and eosin ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly ...

This repository contains LaTeX (Beamer) setup for the presentation of my Master's Thesis conducted at Aalborg University, Denmark. Master's Thesis can be found under ...

Abstract: Deep reinforcement learning (DRL) integrates the feature representation ability of deep learning with the decision-making ability of reinforcement learning so that it can achieve powerful ...

%28Adaptive%20Computation%20and%20Machine%20Learning%20series%29%20Ian%20Goodfellow%2C%20Yoshua%20Bengio%2C%20Aaron%20Courville%20-%20Deep%20Learning-The%20MIT ...

Can be compiled into any desired format, using XeLaTeX — with any desired font. As a general design, I used my PhD thesis style: 17x24 cm paper, 9pt font, Charter/Mathdesign, own designed chapter ...