Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past ...

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically ...

Abstract: THIS paper deals with the mathematical analysis of noise obtained by passing random noise through physical devices. The random noise considered is that which arises from shot effect in ...

Power Electronics, Machines and Control Group, Global Director of the University of Nottingham’s Institute of Aerospace Technology, University of Nottingham, Nottingham, U.K. Patrick Wheeler (Fellow, ...

Abstract: Motion planning is critical to realize the autonomous operation of mobile robots. As the complexity and randomness of robot application scenarios increase, the planning capability of the ...

Internet Of Things,Unmanned Aerial Vehicles,Deep Learning,Deep Reinforcement Learning,Learning Algorithms,Internet Of Things Devices,Neural Network,Authentication Scheme,Edge Computing,Deep Neural ...

Book Abstract: Analyzes the dynamic performance of interconnected power systems. * Examines the characteristics of the various components of a power system during normal operating conditions and ...

Book Abstract: "Co-published with Oxford University Press Long considered the most comprehensive account of electromagnetic theory and analytical methods for solving waveguide and cavity problems, ...

Abstract: It is argued that computing machines inevitably involve devices which perform logical functions that do not have a single-valued inverse. This logical irreversibility is associated with ...

Book Abstract: First published in 1981, Robert S. Elliott's Antenna Theory and Design is one of the most significant works in electromagnetic theory and applications. In its broad-ranging, analytic ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6731005 ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6731005 ...