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    PAKDD
    2005
    ACM
    134views Data Mining» more  PAKDD 2005»
    Improved Bayesian Spam Filtering Based on Co-weighted Multi-area Information
    13 years 10 months ago
    Improved Bayesian Spam Filtering Based on Co-weighted Multi-area Information
    Download  ss.hnu.cn
    Abstract. Bayesian spam filters, in general, compute probability estimations for tokens either without considering the email areas of occurrences except the body or treating the s...
    Raju Shrestha, Yaping Lin
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    PAKDD
    2005
    ACM
    180views Data Mining» more  PAKDD 2005»
    Conditional Random Fields for Transmembrane Helix Prediction
    13 years 10 months ago
    Conditional Random Fields for Transmembrane Helix Prediction
    Download  pmg.it.usyd.edu.au
    Abstract. It is estimated that 20% of genes in the human genome encode for integral membrane proteins (IMPs) and some estimates are much higher. IMPs control a broad range of event...
    Lior Lukov, Sanjay Chawla, W. Bret Church
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    PAKDD
    2005
    ACM
    133views Data Mining» more  PAKDD 2005»
    Feature Selection for High Dimensional Face Image Using Self-organizing Maps
    13 years 10 months ago
    Feature Selection for High Dimensional Face Image Using Self-organizing Maps
    Download  parnec.nuaa.edu.cn
    : While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
    Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zh...
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    PAKDD
    2005
    ACM
    168views Data Mining» more  PAKDD 2005»
    Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
    13 years 10 months ago
    Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
    Download  www.iipl.fudan.edu.cn
    We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
    Junping Zhang, Stan Z. Li
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    PAKDD
    2005
    ACM
    146views Data Mining» more  PAKDD 2005»
    An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
    13 years 10 months ago
    An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
    Download  www.cse.msu.edu
    Abstract. The data stream model of computation is often used for analyzing huge volumes of continuously arriving data. In this paper, we present a novel algorithm called DUCstream ...
    Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning ...
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