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» Efficient High-Level modeling in the networking domain
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CN
2004
146views more  CN 2004»
14 years 9 months ago
Spatio-temporal correlation: theory and applications for wireless sensor networks
Wireless Sensor Networks (WSN) are characterized by the dense deployment of sensor nodes that continuously observe physical phenomenon. Due to high density in the network topology...
Mehmet C. Vuran, Özgür B. Akan, Ian F. A...
BIS
2009
168views Business» more  BIS 2009»
14 years 10 months ago
Defining Adaptation Constraints for Business Process Variants
Abstract. In current dynamic business environment, it has been argued that certain characteristics of ad-hocism in business processes are desirable. Such business processes typical...
Ruopeng Lu, Shazia Wasim Sadiq, Guido Governatori,...
106
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ICML
2010
IEEE
14 years 10 months ago
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
Tobias Lang, Marc Toussaint
JMLR
2006
103views more  JMLR 2006»
14 years 9 months ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev
ICML
2008
IEEE
15 years 10 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray