deeplearning4biomed.org - Our projects on deep Learning for Biomedicine - Qdata Team Research Blog Site

Description: Research Blogs of Qdata Team in the University of Virignia Computer Science Department.

Example domain paragraphs

Toggle menu Qdata Research Summary Blogs from UVA Qdata team

Biology and medicine are rapidly becoming data-intensive. A recent comparison of genomics with social media, online videos, and other data-intensive disciplines suggests that genomics alone will equal or surpass other fields in data generation and analysis within the next decade. The volume and complexity of these data present new opportunities, but also pose new challenges. Data sets are complex, often ill-understood and grow at a a faster scale than computational capabilities. Problems of this nature may

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