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ML
2006
ACM
142views Machine Learning» more  ML 2006»
14 years 10 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
WWW
2010
ACM
14 years 10 months ago
SNDocRank: document ranking based on social networks
To improve the search results for socially-connect users, we propose a ranking framework, Social Network Document Rank (SNDocRank). This framework considers both document contents...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...
AMC
2007
154views more  AMC 2007»
14 years 10 months ago
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....
JNCA
2007
125views more  JNCA 2007»
14 years 9 months ago
Distributed middleware architectures for scalable media services
The fusion of Multimedia and Internet technology has introduced an ever-increasing demand for large-scale reliable media services. This exposes the scalability limitations of curr...
Vana Kalogeraki, Demetrios Zeinalipour-Yazti, Dimi...
IWDC
2005
Springer
117views Communications» more  IWDC 2005»
15 years 3 months ago
Oasis: A Hierarchical EMST Based P2P Network
Peer-to-peer systems and applications are distributed systems without any centralized control. P2P systems form the basis of several applications, such as file sharing systems and ...
Pankaj Ghanshani, Tarun Bansal