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 ...
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 ...
How machine intelligence changes the rules of business by Marco Iansiti and Karim R. Lakhani In 2019, just five years after the Ant Financial Services Group was launched, the number of consumers using ...
Abstract: An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely used to solve flow-shop scheduling problems (FSPs), an important branch of production scheduling ...
Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...
Lecturer: Jason Li (jmli@cs). TA: Meredith Pan (shiqip@andrew). Office hours: Meredith Thursdays 4-5pm, Gates 5th floor commons (subject to change); Jason Tuesdays 2-3pm, Gates 5011 Contacting us: ...
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