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 ...

The primality proof took six days of non-stop computing on a PC with an Intel i5-6600 CPU. To prove there were no errors in the prime discovery process, the new prime was independently verified using ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...

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 ...

1 Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China. 2 Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, USA. 3 Hong Kong ...

Abstract: Efficient and accurate path planning algorithm of unmanned vehicles for unstructured road is of great significant for field disaster relief. An improved A–star algorithm for unmanned vehicle ...

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