Recurrent Neural Networks for Language Processing
This project focuses on advancing the state-of-the-art in language processing with recurrent neural networks. We are currently applying these to language modeling, machine translation, speech recognition, language understanding and meaning representation. A special interest in…
Machine Learning Course – Lecture 10
S V N Vishwanathan (Vishy) and Prateek Jain will offer a 10 week Machine Learning course. It will be an exciting mix between theory and application talks by various guest lecturers. This will be run…
Machine Learning in the Big Data Era
In the traditional approach to problem solving with machine learning, the developer typically selects from amongst the many machine learning algorithms developed over the last few decades. In this talk we describe an alternative methodology…
Prediction Engines
Research around information aggregation and prediction, including polls, probability elicitation, and prediction markets.These methods, broadly defined as wisdom of the crowds, are utilized for a range of outcomes: elections, marketing, internal corporate, military intelligence, etc.…
Machine Learning Course – Lecture 9
S V N Vishwanathan (Vishy) and Prateek Jain will offer a 10 week Machine Learning course. It will be an exciting mix between theory and application talks by various guest lecturers. This will be run…
Speech Recognition Breakthrough for the Spoken, Translated Word
Chief Research Officer Rick Rashid demonstrates a speech recognition breakthrough via machine translation that converts his spoken English words into computer-generated Chinese language. The breakthrough is patterned after deep neural networks and significantly reduces errors…
Machine Learning Course – Lecture 8
S V N Vishwanathan (Vishy) and Prateek Jain will offer a 10 week Machine Learning course. It will be an exciting mix between theory and application talks by various guest lecturers. This will be run…