Nature

What is the expectation maximization algorithm?

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 ...
JSTOR Daily

Introduction to Modeling Convection in Planets and Stars: Magnetic Field, Density Stratification, Rotation

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. A Model of Rayleigh-Bénard Convection ...
IEEE

A High-Fidelity Real-Time Modeling Approach of Fuel Cell Implementation in Hybrid Electric Vehicle Based on Double Tridiagonal Matrix Equation Transformation Method

Abstract: During the development of fuel cell hybrid electric vehicle, it is crucial to obtain real-time information on the physical distribution within the fuel cell stack to ensure the consistency ...
IEEE

Cooperative Decision-Making of UAVs Within-Visual-Range Integrating a Two-Step Matrix Game and an Improved Genetic Algorithm

Abstract: The effectiveness of autonomous decision-making of unmanned aerial vehicles (UAVs) exceeds that of a single one. However, existing methods face critical gaps in within-visual-range (WVR) ...
Lu

A Fast Output-Sensitive Algorithm for Boolean Matrix Multiplication

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