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Network in Network (NiN) Explained – Deep Neural Network Tutorial with PyTorch

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
Scientific Research Publishing

Heckerman, D. (1995) A Tutorial on Learning with Bayesian Networks. Microsoft Research Technical Report.

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
IEEE

Dynamic Bayesian Network Modeling of Component-Level Radiation Effects’ Impact on System Performance

Abstract: Awareness of the impact of component-level radiation response on the system is challenging. This article discusses the radiation response of a power supply system by combining the power ...
IEEE

Joint Prediction of Intention and Trajectory in Automated Driving Using Interactive Dynamic Bayesian Network

Abstract: The prediction of surrounding vehicles' lane-changing intentions and trajectories is critical to the decision-making of autonomous vehicles. However, the precise trajectory prediction is ...
C&EN

BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories

Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California 91016, United States Irell and Manella Graduate School of ...
Scientific Research Publishing

Sivia, D. and Skilling, J. (2006) Data Analysis: A Bayesian Tutorial. OUP Oxford.

ABSTRACT: Soil-water characteristic curve (SWCC) is significant to estimate the site-specific unsaturated soil properties (such as unsaturated shear strength and coefficient of permeability) for ...