Titlebook: Neural Information Processing; 24th International C Derong Liu,Shengli Xie,El-Sayed M. El-Alfy Conference proceedings 2017 Springer Interna

教育學(xué)

Hybrid RVM Algorithm Based on the Prediction Variancee the accuracy. Test results show that RVM with the biased wavelet kernel is able to get increased prediction precision considering data features and the predicted variance is an efficient metric to construct the hybrid algorithm.

Bronchial-Tubes

A Self-adaptive Growing Method for Training Compact RBF Networkse number of nodes reaches a limit. Then the network is further optimized with a supervised fine-tuning method. Experimental results indicate that the proposed method could achieve better performances than traditional algorithms when training same sized RBF networks.

indemnify

防銹

CLOWN

Relation Classification via CNN, Segmented Max-pooling, and SDP-BLSTMtwo-layer feed-forward network for classification. Experiments on the SemEval-2010 Task 8 dataset show that our model achieves competitive performance when compared with several start-of-the-art models.

沉著

Myocyte

Conference proceedings 2017 Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.?.

接合

纖細(xì)

wall-stress

Binary Stochastic Representations for Large Multi-class Classifications, but also learning to map inputs to binary codes. This approach called . keeps the sublinear inference complexity but do not need any . tuning. Experimental results on different datasets show the effectiveness of the approach w.r.t. baseline methods.