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» Open problems in data collection networks
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NECO
2008
146views more  NECO 2008»
13 years 7 months ago
Deep, Narrow Sigmoid Belief Networks Are Universal Approximators
In this paper we show that exponentially deep belief networks [3, 7, 4] can approximate any distribution over binary vectors to arbitrary accuracy, even when the width of each lay...
Ilya Sutskever, Geoffrey E. Hinton
ICWN
2004
13 years 9 months ago
QoS Support in Wireless Sensor Networks: A Survey
In this paper, we assess the state of the art of Quality of Services (QoS) support in wireless sensor networks (WSNs). Unlike traditional end-to-end multimedia applications, many n...
Dazhi Chen, Pramod K. Varshney
MOBIHOC
2006
ACM
14 years 7 months ago
Data storage placement in sensor networks
Data storage has become an important issue in sensor networks as a large amount of collected data need to be archived for future information retrieval. This paper introduces stora...
Bo Sheng, Qun Li, Weizhen Mao
AINA
2010
IEEE
14 years 23 days ago
Mobile Element Path Planning for Time-Constrained Data Gathering in Wireless Sensor Networks
— We consider the problem of gathering data from a sensor network using mobile elements. In particular, we consider the case where the data are produced by measurements and need ...
Khaled Almiani, Anastasios Viglas, Lavy Libman
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali