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103
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SUTC
2010
IEEE
14 years 11 months ago
Transaction-Level Modeling for Sensor Networks Using SystemC
—As sensor networks are finding widespread use across many applications, designers increasingly must not only focus on application development, but also on sensor network optimiz...
Jeff Hiner, Ashish Shenoy, Roman L. Lysecky, Susan...
109
Voted
ECAI
2004
Springer
15 years 6 months ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic
104
Voted
HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
15 years 6 months ago
Applications of Hidden Markov Models to Detecting Multi-Stage Network Attacks
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
100
Voted
TIT
2008
95views more  TIT 2008»
15 years 21 days ago
On the Delay and Throughput Gains of Coding in Unreliable Networks
In an unreliable packet network setting, we study the performance gains of optimal transmission strategies in the presence and absence of coding capability at the transmitter, wher...
Atilla Eryilmaz, Asuman E. Ozdaglar, Muriel M&eacu...
CORR
2010
Springer
82views Education» more  CORR 2010»
15 years 26 days ago
Expansion and Search in Networks
Borrowing from concepts in expander graphs, we study the expansion properties of real-world, complex networks (e.g. social networks, unstructured peer-to-peer or P2P networks) and...
Arun S. Maiya, Tanya Y. Berger-Wolf