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ML
2006
ACM
142views Machine Learning» more  ML 2006»
14 years 12 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
15 years 3 days 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»
15 years 1 days 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 11 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 5 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