We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
Vittorio Castelli, Lawrence D. Bergman, Daniel Obl...
: Sorting large data sets has always been an important application, and hence has been one of the benchmark applications on new parallel architectures. We present a parallel sortin...
- We propose a novel oscillation ring (OR) test architecture for testing interconnects in SoC. In addition to stuck-at and open faults, this scheme can detect delay faults and cr...
Katherine Shu-Min Li, Chung-Len Lee, Chauchin Su, ...
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
We develop a framework for obtaining Fully Polynomial Time Approximation Schemes (FPTASs) for stochastic univariate dynamic programs with either convex or monotone single-period c...
Nir Halman, Diego Klabjan, Chung-Lun Li, James B. ...