QDATA

Research Blogs of Qdata Team in the University of Virignia Computer Science Department... This front adapts from our legacy website deepchrome.org (later to deepchrome.net) and introduces updates of a suite of deep learning tools we have developed for learning patterns and making predictions on biomedical data (mostly from functional genomics)... The performance of machine learning algorithms is largely dependent on the data representation (or features) on which they are applied. Deep learning aims at discovering learning algorithms that can find multiple levels of representations directly from data, with higher levels representing more abstract concepts. In recent years, the field of deep learning has lead to groundbreaking performance in many applications such as computer vision, speech understanding, natural language processing, and computational biology.