Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

INTRODUCTION: Using an App to Go to Work—Uber as a Symbol of the New Economy INTRODUCTION: Using an App to Go to Work—Uber as a Symbol of the New Economy (pp. 1 ...

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. https://www.jstor.org/stable/j.ctt13x0hch.3 ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

The impacts of social media algorithms are manifold: Algorithmically powered newsfeeds on social media threaten to destabilize countries and governments around the world, deeply impact mental health, ...

This is an implementation of the file format described in the ABC behavior cloning paper that has been extracted from the official repo and refactored slightly in order to make it reusable as a ...

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...

Abstract: The advent of artificial intelligence (AI) has catalyzed transformative changes across diverse domains, establishing itself as a disruptive technology. Traditional methods often fall short ...

cpusim is a small, dependency-free command-line tool that reproduces the classic CPU scheduling algorithms taught in operating-systems courses and relied on as a mental model when reasoning about real ...