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» Algorithms for Large, Sparse Network Alignment Problems
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142
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ANNPR
2008
Springer
15 years 4 months ago
Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
118
Voted
JMLR
2006
153views more  JMLR 2006»
15 years 2 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
108
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STOC
2005
ACM
167views Algorithms» more  STOC 2005»
16 years 2 months ago
Approximately counting integral flows and cell-bounded contingency tables
We consider the problem of approximately counting integral flows in a network. We show that there is an fpras based on volume estimation if all capacities are sufficiently large, ...
Mary Cryan, Martin E. Dyer, Dana Randall
136
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CIKM
2011
Springer
14 years 2 months ago
Content based social behavior prediction: a multi-task learning approach
The study of information flow analyzes the principles and mechanisms of social information distribution. It is becoming an extremely important research topic in social network re...
Hongliang Fei, Ruoyi Jiang, Yuhao Yang, Bo Luo, Ju...
112
Voted
MSWIM
2005
ACM
15 years 8 months ago
Content and service replication strategies in multi-hop wireless mesh networks
Emerging multi-hop wireless mesh networks have much different characteristics than the Internet. They have low dimensionality and large diameters. Content and service replication ...
Shudong Jin, Limin Wang