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

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 ...

Overall, the Verification Track was highly informative and well worth attending. It offered valuable insights into how customers are solving problems using SVG tools. If you would like to view the ...

Unlike the conventional methods which usually concatenate all features into one feature vector, we adopted a multiple-kernel support vector machine (MK-SVM ... using the 3D Row-Action ...

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 ...

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 ...

Obviously many algorithms need a definition of features to look at or a biggish training set of data to derive the solution from. This curated list comprises awesome libraries, data sources, tutorials ...

Efficient virtual screening (VS) tools for searching selective multitarget agents are desired. Combinatorial support vector machines (C-SVM) were tested as VS tools for searching dual-inhibitors of 11 ...