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Layout pattern classification, which groups similar layout clips into clusters, underlies a variety of design for manufacturability (DFM) applications such as hotspot library generation, hierarchical data storage, and yield optimization speedup. The key challenges of layout pattern classification are clip representation and clip clustering, while the mutually conflicting concerns are efficiency and...
Due to the high dimensionality of hyperspectral data, dimension reduction is becoming an important problem in hyperspectral image classification. Band selection can retain the information which is capable of keeping the original meaning of the data, and thus has attracted more attention. This paper tackles the band selection problem from the perspective of multiple classifiers combination, which can...
Establishing a good algorithm for predicting temperature of thermostable proteins is an important issue. In this study, a novel thermostable proteins prediction method using Hurst exponent and Choquet integral regression model based on L-measure and lambda-support is proposed. The main idea of this method is to integrate the physicochemical properties, fractal property and Choquet integral regression...
In this paper, the self organization properties of ant colonies are employed to tackle the problem of DNA copy number analysis in array CGH data, which can reveal chromosomal aberrations in the genomic DNA. These amplifications and deletions may be crucial events in the development and progression of cancer and other diseases. Accurately identifying the recurrent aberration at a particular genome...
Fuzzy Kohonen clustering networks (FKCN) are well known for clustering analysis (unsupervised learning and self-organizing). This classification of FKCN algorithm is a set of iterative procedures that suffer some major problems, for example its constringency rate is not too fast for a large amount of datasets. To overcome these defects, an efficient fuzzy Kohonen network algorithm is proposed in this...
In search of good classifier of hosts of influenza A viruses is an important issue to prevent pandemic flu. The hemagglutinin protein in the virus genome is the major molecule that determining the range of hosts. In this paper, a novel classification algorithm of hemagglutinin proteins integrating SVM and logistic regression based on 4 kinds of Hurst exponents for each protein sequence is proposed...
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