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IJCAI
1997
15 years 8 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
ML
2008
ACM
222views Machine Learning» more  ML 2008»
15 years 6 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
EWSN
2006
Springer
16 years 6 months ago
f-MAC: A Deterministic Media Access Control Protocol Without Time Synchronization
Nodes in a wireless network transmit messages through a shared medium. Thus, a Media Access Control (MAC) protocol is necessary to regulate and coordinate medium access. For some a...
André M. Barroso, Cormac J. Sreenan, Utz Ro...
EWSN
2004
Springer
16 years 6 months ago
Improving the Energy Efficiency of Directed Diffusion Using Passive Clustering
Directed diffusion is a prominent example of data-centric routing based on application layer data and purely local interactions. In its functioning it relies heavily on network-wid...
Andreas Köpke, Christian Frank, Holger Karl, ...
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GLOBECOM
2009
IEEE
16 years 1 months ago
Modeling and Characterizing User Experience in a Cloud Server Based Mobile Gaming Approach
—With the evolution of mobile devices and networks, and the growing trend of mobile Internet access, rich, multi-player gaming using mobile devices, similar to PC-based Internet ...
Shaoxuan Wang, Sujit Dey