Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: The purpose of filters’ inverse modeling is to acquire the values of physical or geometrical parameters for the specified electrical response. In this article, a dimensionality reduction (DR ...

Abstract: In this brief, we consider the problem of finding a probabilistic Boolean network (PBN) based on a network structure and desired steady-state properties. In systems biology and synthetic ...

Environmental sustainability in tertiary sports remains an emergent yet under-resourced domain, particularly in sub-Saharan ...

A new study study tracks 37,600 families to link exclusive breastfeeding up to six months with a reduced risk of childhood ...

This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is ...

Since the implementation of the Bologna Process, Higher Education institutions are faced with a constantly evolving set of challenges. And pedagogic innovation to enhance student learning is one of ...

For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving cars. U.S. National Academies report on AI and the Future of Work, study ...

DepthInverseProjection - An example showing how to inverse-project depth samples into the view/world space WavTexture - A Unity example showing how to bake a waveform of an audio clip into a texture ...

Multiple methods allow evaluation of the connection of major depression GWA results to sets of genes grouped by empirical or predicted function (i.e., pathway or gene set analysis). Full pathway ...