Browsing by Author "Yang, Tao"

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Browsing by Author "Yang, Tao"

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  • Chen, G.; Warren, J.; Yang, Tao; Kecman, Vojislav (IEEE, 2008)
    In this paper we look at automated classification to determine a metadata attribute related to the 'tone' of a consumer-oriented breast cancer Webpage as medical or supportive. We use a semantic space model called hyperspace ...
  • Yang, Tao; Kecman, Vojislav (Blackwell Publishing Ltd, 2009)
    It is not unique that only a few samples from medical studies are available for knowledge discovery. Hence, a suitable classifier for the small data set learning problem is very interesting in medical work. In this paper, ...
  • Yang, Tao; Kecman, Vojislav (Elsevier BV, 2008)
    In this paper, a novel classifier, called adaptive local hyperplane, is proposed for pattern classification. The experimental results on 11 real data sets demonstrate that the proposed classifier outperforms, on average, ...
  • Kecman, Vojislav; Yang, Tao (International Neural Network Society, 2009)
    The paper introduces novel machine learning (data mining) algorithm called Adaptive Local Hyperplane (ALH) and it presents its application in solving regression problems. ALH algorithm has recently shown extremely good ...
  • Yang, Tao; Kecman, Vojislav; Cao, Longbing (Tsinghua University Press, 2010)
    The adaptive local hyperplane (ALH) algorithm is a very recently proposed classifier, which has been shown to perform better than many other benchmarking classifiers including support vector machine (SVM), K-nearest neighbor ...
  • Yang, Tao; Kecman, Vojislav; Cao, Longbing; Zhang, Chengqi (Springer Berlin / Heidelberg, 2010)
    This paper proposes a new gene selection (or feature selection) method for DNA microarray data analysis. In the method, the t-statistic and support vector machines are combined efficiently. The resulting gene selection ...
  • Yang, Tao; Mao, Guoqiang; Zhang, Wei (IEEE-Inst Electrical Electronics Engineers Inc, 2012)
    Wireless multi-hop networks are being increasingly used in military and civilian applications. Connectivity is a prerequisite in wireless multi-hop networks for providing many network functions. In a wireless network with ...
  • Yang, Tao; Kecman, Vojislav (Springer, 2010)
    The paper introduces a novel adaptive local hyperplane (ALH) classifier and it shows its superior performance in the face recognition tasks. Four different feature extraction methods (2DPCA, (2D)2PCA, 2DLDA and (2D)2LDA) ...
  • Yang, Tao; Kecman, Vojislav; Cao, Longbing; Zhang, Chengqi; Huang, J (Pergamon-Elsevier Science Ltd, 2011)
    Recognition of protein folding patterns is an important step in protein structure and function predictions. Traditional sequence similarity-based approach fails to yield convincing predictions when proteins have low sequence ...
  • Yang, Tao; Cao, Longbing; Zhang, Chengqi (Springer Berlin / Heidelberg, 2010)
    In this paper, a novel prototype reduction algorithm is proposed, which aims at reducing the storage requirement and enhancing the online speed while retaining the same level of accuracy for a K-nearest neighbor (KNN) ...
  • Kecman, Vojislav; Yang, Tao (IEEE, 2009)
    Protein fold recognition task is important for understanding the biological functions of proteins. The adaptive local hyperplane (ALH) algorithm has been shown to perform better than many other renown classifiers including ...
  • Yang, Tao; Kecman, Vojislav; Cao, Longbing; Zhang, Chengqi (IEEE, 2010)
    Adaptive Local Hyperplane (ALH) is a recently proposed classifier for the multi-class classification problems and it has shown encouraging performance in many pattern recognition problems. However, ALH's performance over ...