Session two – Artificial Intelligence and Machine Learning in Cambridge 2016
11:30-11:50 Antonio Criminisi, Microsoft Research Efficient machine learning for the quantitative analysis of medical images
11:50-12:10 Sebastian Nowozin, Microsoft Research Bayesian Time-of-Flight for Realtime Scene Decomposition into Geometry, Reflectance, and Light
12:10-12:30 Ryota Tomioka, Microsoft Research Understanding the role of invariances in training neural networks
12:30-12:50 Yoram Bachrach, Microsoft Research Analyzing factors behind hiring decisions based on online social network profiles
11:30-11:50 Antonio Criminisi, Microsoft Research Efficient machine learning for the quantitative analysis of medical images
11:50-12:10 Sebastian Nowozin, Microsoft Research Bayesian Time-of-Flight for Realtime Scene Decomposition into Geometry, Reflectance, and Light
12:10-12:30 Ryota Tomioka, Microsoft Research Understanding the role of invariances in training neural networks
12:30-12:50 Yoram Bachrach, Microsoft Research Analyzing factors behind hiring decisions based on online social network profiles
