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CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
13 years 10 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage
CORR
2010
Springer
109views Education» more  CORR 2010»
13 years 5 months ago
Pairwise Optimal Discrete Coverage Control for Gossiping Robots
Abstract-- We propose distributed algorithms to automatically deploy a group of robotic agents and provide coverage of a discretized environment represented by a graph. The classic...
Joseph W. Durham, Ruggero Carli, Francesco Bullo
BMCBI
2008
95views more  BMCBI 2008»
13 years 5 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri
INFOCOM
2010
IEEE
13 years 3 months ago
Joint Random Access and Power Selection for Maximal Throughput in Wireless Networks
—In wireless networks, how to select transmit power that maximizes throughput is a challenging problem. On one hand, transmissions at a high power level could increase interferen...
Yan Gao, Zheng Zeng, P. R. Kumar
IAT
2009
IEEE
14 years 5 days ago
Cluster-Swap: A Distributed K-median Algorithm for Sensor Networks
In building practical sensor networks, it is often beneficial to use only a subset of sensors to take measurements because of computational, communication, and power limitations....
Yoonheui Kim, Victor R. Lesser, Deepak Ganesan, Ra...