It has been unclear whether optimal experimental design accounts of data selection may offer insight into evidence acquisition tasks in which the learnerās beliefs change greatl...
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiļ...
This paper deals with eļ¬cient numerical representation and manipulation of diļ¬erential and integral operators as symbols in phase-space, i.e., functions of space x and frequen...
In this paper, we developed Boolean matching techniques for complex programmable logic blocks (PLBs) in LUT-based FPGAs. A complex PLB can not only be used as a K-input LUT, but a...
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...