An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Timing margin (slack) needs to be carefully managed to ensure a satisfactory timing yield. We propose a new design flow that combines a false-path-aware gate sizing and a statisti...
Jeng-Liang Tsai, Dong Hyun Baik, Charlie Chung-Pin...
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Several centralized and distributed algorithms have been recently proposed to maximize the multicast lifetime for directional communications in wireless ad-hoc networks. Their per...
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...