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

A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It ...

Abstract: We present an algorithm for the application of support vector machine (SVM) learning to image compression. The algorithm combines SVMs with the discrete cosine transform (DCT). Unlike a ...

Rather, reporters I spoke to who worked on these stories primarily used machine learning techniques that preceded ... developed a custom image-recognition algorithm. He fed land titles and land ...

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...

What the technology can do today—and what’s next by Thomas H. Davenport, Abhijit Guha and Dhruv Grewal Of all a company’s functions, marketing has perhaps the most to gain from artificial ...

Abstract: Support Vector Machines (SVM) have gained increasing attention due to their classification accuracy, robustness and indifference towards the input data type. Thus, they are widely used in ...