Probabilistic Inference for CART network
SIGMA: Large-Scale and Parallel Machine-Learning Tool Kit
The goal of SIGMA is to provide a group of parallel machine-learning algorithms that can meet the requirements of research work and applications typically with large-scale data or features. The tool kit includes more than…
Project Gustav: Immersive Digital Painting
Project Gustav is a realistic painting-system prototype that enables artists to become immersed in the digital painting experience. The natural interface makes Project Gustav ideal for hobbyists and professional artists alike. Project Gustav achieves a…
Making User Interfaces Natural
In a video about new ways to design natural user interfaces, Bill Buxton, principal researcher for Microsoft Research, explains how engineers can use a combination of interactive gestures and communication methods to enable a “society…
New Focus, New Challenge
When Quantity makes Quality: Learning with Information Constraints
In standard learning models, it is assumed that the learner has a complete and fully available training set at hand. However, in many real-world applications, obtaining full information on the training examples is expensive, illegal,…