A thorny problem in machine learning is how to extract useful clues related to delayed feedback signals from the clutter of input activity, known as the temporal credit-assignment problem.The aggregate-label learning algorithms make an explicit representation of this problem by training spiking neurons to assign the aggregate feedback signal to pot
Deep learning has broad applications in various fields.However,users still need to face problems from two aspects when applying deep learning.First,deep learning has a complex theoretical background,non-professional users lack background knowledge in modeling and tuning.It is OPTIPET MULTI PETS difficult for them to build performance-optimized mode
Information about seed dispersal effectiveness (SDE) for plant species of conservation concern is rarely available to inform management strategies and actions.For Lindera subcoriacea (bog spicebush, Lauraceae), a rare endemic dioecious shrub of the southeastern United States, we examined the influence of two intrinsic and five extrinsic drivers on
Abstract Driving comfort is a crucial consideration in the automotive industry.In the realm of autonomous creams-lotions driving, comfort has always been a factor that requires continuous improvement.A common approach to improving driving comfort is through the optimization of local path planning.Nevertheless, it is imperative to recognize that mac
Breast cancer is the second highest prevalent cancer globally Ice Cream Scoops after lung cancer with 2.09 million cases during 2018.Adults about 1.9 billion were overweight and over 650 million out of these were obese during 2016.There is a significant relationship between breast cancer risk and obesity.Premature menopause and premenopausal obesit