Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

Figure 1 An LPVCO with 10-octave (20 Hz to 20 kHz) tri-wave output comprises antilog pair Q1 and Q2, two-way current mirror ...

This study presents compelling evidence that the denitrosylase SCoR2 regulates cardioprotective metabolic reprogramming in the heart following ischemia/reperfusion injury. The findings are supported ...

Piece-wise non-linear regression is a long-standing problem in the machine learning domain that has long plagued machine learning researchers. It is extremely difficult for users to determine the ...

Abstract: In the traditional graph embedding framework, the graph is usually built by k-NN or r-ball. Since it is difficult to manually set the parameters k and r in the high-dimensional space, sparse ...

In order to adjust the models for predicting soil property results from the pXRF data, two methods were tested: stepwise multiple linear regression (SMLR) and random forest algorithm (RF). The SMLR ...