Titlebook: Artificial Intelligence and Soft Computing; 16th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings

犬儒主義者

嗎啡

SYN

防水

athlete’s-foot

Misinformation and Disinformationations for the QR decomposition are presented. The paper’s core holds an essential explanation to accomplish hardware-based parallel implementation. The paper concludes with a theoretical description of speed improvement gained by parallel implementation of the Givens reduction in the QR decomposition process.

懶惰人民

施加

https://doi.org/10.1007/978-3-531-92455-7fferent neural network architectures and presents the proposition of new multilayer architecture with additional linear neurons, that is much easier to train that traditional MLP network and reduces effect of vanishing gradients. Efficiency of suggested approach has been confirmed by several exeriments.

大門在匯總

https://doi.org/10.1007/978-1-4302-1050-4 method is compared to other ones like Fuzzy Systems, Neural Networks, Support Vector Machines, etc. to investigate the ability to solve sample problem. The results show that the method can be successfully used and the results are comparable or better to those achieved by other methods considered as powerful ones.

漫不經(jīng)心

Author Profiling with Classification Restricted Boltzmann Machinestitive results when evaluated with the PAN-AP-13 corpus: 36.59% joint accuracy, 57.83% gender accuracy and 59.17% age accuracy. We also examine the relations between discriminative, generative and hybrid training methods.

mechanical