Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
The standard HPSG analysis of Germanic verb clusters can not explain the observed narrowscope readings of adjuncts in such verb clusters. We present an extension of the HPSG analy...
The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth...
In Part I ["The shiftable complex directional pyramid--Part I: Theoretical Aspects," IEEE TRANSACTIONS ON SIGNAL PROCESSING, vol. 56, no. 10, October 2008], we proposed a...
—“Autonomic systems” merge advancements in the field of multi-agent software design, dynamic analysis, and decentralized control in order to assist designers in constructing...