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.

See my DrGFreeman/rps-cv-data-science repository where I posted different notebooks demonstrating some cool data science analysis on the image dataset resulting from this project. This project results ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

Cat visual cortex contains a topographic map of visual space, plus superimposed, spatially periodic maps of ocular dominance, spatial frequency and orientation. It is hypothesized that the layout of ...

Abstract: The cement clinker compressive strength (CCCS) at the specified age is a significant indicator of the clinker quality. However, as for the existing CCCS measurement process, the test block ...

Abstract: Solving large number of small linear systems is increasingly becoming a bottleneck in computational science applications. While dense linear solvers for such systems have been studied before ...

Department of Computational Science, National University of Singapore, Blk SOC1, Level 7, 3 Science Drive 2, Singapore 117543, Singapore-MIT Alliance, E-04-10, 4 Engineering Drive 3, Singapore, 117576 ...