A fast mode decision method for Intra prediction in H.264 is proposed in this work to reduce the encoder complexity. The proposed algorithm adopts a multi-stage sequential mode de...
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
Design Of Experiments (DOE) is needed for experiments with real-life systems, and with either deterministic or random simulation models. This contribution discusses the different ...
Consider the problem of protecting endangered species by selecting patches of land to be used for conservation purposes. Typically, the availability of patches changes over time, ...
Daniel Golovin, Andreas Krause, Beth Gardner, Sara...
We present a very simple algorithm for the Least Common Ancestor problem. We thus dispel the frequently held notion that an optimal LCA computation is unwieldy and unimplementable...