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  • Li, YF; Tsang, IW; Kwok, JT; Zhou, ZH (2013-03-06)
    In this paper, we study the problem of learning from weakly labeled data, where labels of the training examples are incomplete. This includes, for example, (i) semi-supervised learning where labels are partially known; ...
  • Li, Yuefeng; Zhang, Chengqi; Zhang, Shichao (Taylor & Francis Inc, 2003)
    While the Internet and World Wide Web have put a huge volume of low-quality information at the easy access of an information gathering system, filtering out irrelevant information has become a big challenge. In this paper, ...
  • Lueg, CP (Institute for Media and Communications Management, University of St.Gallen, Switzerland, 2001-01)
    The importance of the Internet as an information exchange and communication medium has increased significantly over the past few years. Eriksson (1999) outlines that the daily lives of people are more and more affected by ...
  • Zhang, Y; Zhu, X; Wu, X; Bond, J (Pergamon-Elsevier Science Ltd, 2011-01)
    Learning from imperfect (noisy) information sources is a challenging and reality issue for many data mining applications. Common practices include data quality enhancement by applying data preprocessing techniques or ...
  • Lu, J; Bai, C; Zhang, G (Pergamon-Elsevier Science Ltd, 2009-01)
    This study applies Bayesian network techniques to analyze and verify the relationships among cost factors and benefit factors in e-service systems. This study first establishes a Bayesian network for e-service cost-benefit ...
  • Zhu, X; Wu, X (IEEE Computer Soc, 2005-01)
    Real-world data is noisy and can often suffer from corruptions or incomplete values that may impact the models created from the data. To build accurate predictive models, data acquisition is usually adopted to prepare the ...
  • Wang, T; Qin, Z; Zhang, S; Zhang, C (2012-07)
    It is an actual and challenging issue to learn cost-sensitive models from those datasets that are with few labeled data and plentiful unlabeled data, because some time labeled data are very difficult, time consuming and/or ...
  • Qin, Z; Wang, T; Zhang, C; Zhang, S (Springer, 2013-01)
    Cost-sensitive learning algorithms are typically motivated by imbalance data in clinical diagnosis that contains skewed class distribution. While other popular classification methods have been improved against imbalance ...
  • Cao, L; Ou, Y; Yu, P (IEEE Computer Soc, 2012-01)
    Coupled behaviors refer to the activities of one to many actors who are associated with each other in terms of certain relationships. With increasing network and community-based events and applications, such as group-based ...
  • Zhao, L; Hoi, SCH; Li, Z; Wong, L; Nguyen, H; Li, J (2014)
  • Henderson-Sellers, B; Serour, MK (IGI PUBL, 2005-10-01)
  • Lee-Shoy, T; Dreher, TI (Routledge, 2009-01)
    Tiffany Lee-Shoy is the Senior Policy Advisor on Cultural Development at Fairfield City Council in western Sydney. In this exchange with Tanja Dreher, Tiffany reflects on recent community development work using digital ...
  • Henderson-Sellers, B; Bohling, J; Rout, T (2003-01)
    The OOSPICE project aims at creating a capability assessment package for component-based development (CBD), which complements and extends the ISO 15504 technical report (SPICE) and its pending standard. In addition, it ...
  • Shneiderman, B; Fischer, G; Czerwinski, M; Resnick, M; Myers, B; Candy, L; Edmonds, EA; Eisenberg, M; Giaccardi, E; Hewett, T; Jennings, P; Kules, B; Nakakoji, K; Nunamaker, J; Pausch, M; Selker, T; Sylvan, E; Terry, M (Lawrence Erlbaum Assoc Inc, 2006-01)
    Creativity support tools is a research topic with high risk but potentially very high payoff. The goal is to develop improved software and user interfaces that empower users to be not only more productive but also more ...
  • Al-Sharawneh, JA; Sinnappan, S; Williams, M (Springer, 2013-01)
    Social Network (SN) members in Twitter communicate in varied contexts such as crisis. Formations within social networks are unique as some members have more influence over other members; members with more influence are ...
  • Ng, SC; Mao, G; Anderson, B (IEEE-Inst Electrical Electronics Engineers Inc, 2013-01)
    In this paper we investigate the critical node density required to ensure that an arbitrary node in a large-scale wireless multi-hop network is connected (via multi-hop path) to infinitely many other nodes with a positive ...
  • Niazi, M; Wilson, D; Zowghi, D (2006-03)
    In this article, we present findings from our recent empirical study of the critical success factors (CSFs) for software process improvement (SPI) implementation with 34 SPI practitioners. The objective of this study is ...
  • Bian, W; Tao, D; Rui, Y (2012-04)
    Conventional human action recognition algorithms cannot work well when the amount of training videos is insufficient. We solve this problem by proposing a transfer topic model (TTM), which utilizes information extracted ...
  • Zhu, X (IEEE-inst Electrical Electronics Engineers Inc, 2011-01)
    Semi-Supervised Learning (SSL) traditionally makes use of unlabeled samples In this paper, sample and instance are interchangeable terms. by including them into the training set through an automated labeling process. Such ...
  • Kusakunniran, W; Wu, Q; Zhang, J; Li, H (2012-05-01)
    Gait has been shown to be an efficient biometric feature for human identification at a distance. However, performance of gait recognition can be affected by view variation. This leads to a consequent difficulty of cross-view ...