Optimizing slow and stored light for multidisciplinary applications
We present a preliminary experimental study of the dependence on optical depth of slow and stored light pulses in Rb vapor. In particular, we characterize the efficiency of slow and stored light as a function of Rb density; pulse duration, delay and storage time; and control field intensity. Experimental results are in good qualitative agreement with theoretical calculations based on a simplified three-level model at moderate densities.
Short text classification problem need to face some special problems to be solved different from traditional text classification,such as short text length,features sparse.This paper uses the feature extended method based on theme Ontology.It can get better classification performance by considering the semantic relations.Meanwhile,using case-base maintenance learning via the GC(generalization capability)algorithm,which can reduce the case number into K-NN algorithm,can improve efficiency when indexing near neighbor in K-Nearest Neighbor algorithm.The numerical experiments prove the validity of this learning algorithm.