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» Learning Network Topology from Simple Sensor Data
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JIB
2006
220views more  JIB 2006»
13 years 6 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
ICML
2005
IEEE
14 years 7 months ago
Learning to rank using gradient descent
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
Christopher J. C. Burges, Tal Shaked, Erin Renshaw...
JNW
2008
144views more  JNW 2008»
13 years 6 months ago
Low-Latency Geographic Routing for Asynchronous Energy-Harvesting WSNs
Research on data routing strategies for wireless sensor networks (WSNs) has largely focused on energy efficiency. However rapid advances in WSNs require routing protocols which can...
Donggeon Noh, Ikjune Yoon, Heonshik Shin
EWSN
2010
Springer
13 years 12 months ago
Wiselib: A Generic Algorithm Library for Heterogeneous Sensor Networks
One unfortunate consequence of the success story of wireless sensor networks (WSNs) in separate research communities is an evergrowing gap between theory and practice. Even though ...
Tobias Baumgartner, Ioannis Chatzigiannakis, S&aac...
DMSN
2009
ACM
14 years 1 months ago
Message models and aggregation in knowledge based middleware for rich sensor systems
Networked, distributed real world sensing is an increasingly prominent topic in computing and has quickly expanded from resource constrained “sensor networks” measuring simple...
Joseph B. Kopena, William C. Regli, Boon Thau Loo