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» Learning from Multiple Sources of Inaccurate Data
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PKDD
2010
Springer
212views Data Mining» more  PKDD 2010»
15 years 1 months ago
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Versche...
IPSN
2003
Springer
15 years 8 months ago
A Robust Data Delivery Protocol for Large Scale Sensor Networks
Although data forwarding algorithms and protocols have been among the first set of issues explored in sensor networking, how to reliably deliver sensing data through a vast field...
Fan Ye, Gary Zhong, Songwu Lu, Lixia Zhang
135
Voted
COMSUR
2011
196views Hardware» more  COMSUR 2011»
14 years 3 months ago
From MANET To IETF ROLL Standardization: A Paradigm Shift in WSN Routing Protocols
—In large networks, a data source may not reach the intended sink in a single hop, thereby requiring the traffic to be routed via multiple hops. An optimized choice of such rout...
Thomas Watteyne, Antonella Molinaro, Maria Grazia ...
IROS
2008
IEEE
121views Robotics» more  IROS 2008»
15 years 10 months ago
Learning robot motion control with demonstration and advice-operators
Abstract— As robots become more commonplace within society, the need for tools to enable non-robotics-experts to develop control algorithms, or policies, will increase. Learning ...
Brenna Argall, Brett Browning, Manuela M. Veloso
152
Voted
JUCS
2008
196views more  JUCS 2008»
15 years 3 months ago
Information Integration for the Masses
Abstract: Information integration applications combine data from heterogeneous sources to assist the user in solving repetitive data-intensive tasks. Currently, such applications r...
Jim Blythe, Dipsy Kapoor, Craig A. Knoblock, Krist...