Applications of Machine Learning in Cable Access Networks (2016)
By Karthik Sundaresan, Nicolas Metts, Greg White, Albert Cabellos-Aparicio, CableLabs
Recent advances in Machine Learning algorithms have resulted in an explosion of real-world applications, including self-driving cars, face and emotion recognition, automatic image captioning, real-time speech translation and drug discovery.
Potential applications for Machine Learning abound in the areas of network technology, and there are various problem areas in the cable access network which can benefit from Machine Learning techniques. This paper provides an overview of Machine Learning algorithms, and how they could be applied to the applications of interest to cable operators and equipment suppliers.
By clicking the "Download Paper" button, you are agreeing to our terms and conditions.