S. Y. Kung

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Kernel techniques for classification is especially challenging in terms of computation and memory requirement when data fall into more than two categories. In this paper, we extend a binary classification technique called Ridge-adjusted Slack Variable Optimization (RiSVO) to its multiclass counterpart where the label information encoding scheme allows the(More)
The problem of identifying genetic factors under­ lying complex and quantitative traits such as height, weight and disease susceptibility in natural popula­ tions has become a major theme of research in recent years. Aiming at revealing the inter-dependency and causal relationship between the underlying genotypes and observed phenotypes, researchers from(More)
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