Browsing by Author "Shen, YH"
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Item type:Item, Observation of self-starting phase-conjugate oscillation in a planar nematic liquid-crystal cell(1998-03-16) ;Chen, SH ;Shen, YH ;光電工程學系Department of PhotonicsWe report the observation of self-starting optical phase-conjugate oscillation in a nematic liquid-crystal cell. A theoretical model based on the continuum theory of liquid crystals and optical theory of degenerate four-wave mixing is developed to explain the observed phenomena. (C) 1998 American Institute of Physics.Item type:Item, Recognition of structure classification of protein folding by NN and SVM hierarchical learning architecture(2003) ;Chung, IF ;Huang, CD ;Shen, YH ;Lin, CT電控工程研究所Classifying the structure of protein is a very important task in biological data. By means of the classification, the relationships and characteristics among known proteins can be exploited to predict the structure of new proteins. The study of the protein structures is based on the sequences and their similarity. It is a difficult task. Recently, due to the ability of machine learning techniques, many researchers have applied them to probe into this protein classification problem. We also apply here machine learning methods for multi-class protein fold recognition problem by proposing a novel hierarchical learning architecture. This novel hierarchical learning architecture can be formed by NN (neural networks) or SVM (support vector machine) as basic building blocks. Our results show that both of them can perform well. We use this new architecture to attack the multi-class protein fold recognition problem as proposed by Dubchak and Ding in 2001. With the same set of features our method can not only obtain better prediction accuracy and lower computation time, but also can avoid the use of the stochastic voting process in the original approach.