Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
Process variations have become a serious concern for nanometer technologies. The interconnect and device variations include interand intra-die variations of geometries, as well as...
Xiaoning Qi, Alex Gyure, Yansheng Luo, Sam C. Lo, ...
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
Understanding the process of categorization is a primary research goal in artificial intelligence. The conceptual space framework provides a flexible approach to modeling context-...
A new algorithm for 3D reconstruction of twodimensional crystals from projections is presented, and applied to biological macromolecules imaged using electron microscopy. Its main...