PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
We study the use of a computer application, intended for Computer Assisted Language Learning (CALL). We present an analytical framework for CALL, consisting of technology, interac...
Interactive3Dlearningenvironmentscanproviderichproblemsolving experiences with unparalleled visual impact. In these environments, students interactively solve problems by directin...
William H. Bares, Luke S. Zettlemoyer, Dennis W. R...