Comparison study of exosomes molecules driven from (NCI1975) NSCLC cell culture supernatant isolation and characterization techniques
Background Lung cancer consider as one of leading cause of death around the world, normally the disease detection is difficult in early stages, Anew methods for diagnostic using non-invasive way ar...
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.