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Data discretization for dynamic Bayesian network based modeling of genetic networks
- Nguyen, Vinh, Chetty, Madhu, Coppel, Ross, Wangikar, Pramod
Efficient pattern index coding using syndrome coding and side information
- Paul, Manoranjan, Murshed, Manzur
- Webb, Geoffrey, Boughton, Janice, Zheng, Fei, Ting, Kaiming, Salem, Houssam
Local and global algorithms for learning dynamic Bayesian networks
- Nguyen, Vinh, Chetty, Madhu, Coppel, Ross, Wangikar, Pramod
Performance comparisons of contour-based corner detectors
- Awrangjeb, Mohammad, Lu, Guojun, Fraser, Clive
- Barbagallo, Michael, Birch, Kate, Deacon, Nicholas, Mosse, Jennifer
Relevance feature mapping for content-based multimedia information retrieval
- Zhou, Guang, Ting, Kaiming, Liu, Fei, Yin, Yilong
Smart phone based machine condition monitoring system
- Gondal, Iqbal, Yaqub, Muhammad, Hua, Xueliang
Unitary anomaly detection for ubiquitous safety in machine health monitoring
- Amar, Muhammad, Gondal, Iqbal, Wilson, Campbell
A basic theory of intelligent finance
A parametric approach to list decoding of Reed-Solomon codes using interpolation
- Ali, Mortuza, Kiujper, Margreta
An improved method to infer gene regulatory network using s-system
- Chowdhury, Ahsan, Chetty, Madhu
Application of soft computing to predict blast-induced ground vibration
- Khandelwal, Manoj, Kumar, Lalit, Yellishetty, Mohan
Automatic image search based on improved feature descriptors and decision tree
- Hou, Jin, Chen, Zeng, Qin, Xue, Zhang, Dengsheng
Blast-induced ground vibration prediction using support vector machine
Building sparse support vector machines for multi-instance classification
- Fu, Zhouyu, Lu, Guojun, Ting, Kaiming, Zhang, Dengsheng
Classification through incremental max-min separability
- Bagirov, Adil, Ugon, Julien, Webb, Dean, Karasozen, Bulent
Clustering gene expression data using ant-based heuristics
- Tan, Swee, Ting, Kaiming, Teng, Shyh
Density estimation based on mass
- Ting, Kaiming, Washio, Takashi, Wells, Jonathan, Liu, Fei
Empirical evaluation methods for multiobjective reinforcement learning algorithms
- Vamplew, Peter, Dazeley, Richard, Berry, Adam, Issabekov, Rustam, Dekker, Evan
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