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EWSN
2010
Springer
15 years 10 months ago
An Adaptive Strategy for Energy-Efficient Data Collection in Sparse Wireless Sensor Networks
Sparse wireless sensor networks (WSNs) are being effectively used in several applications, which include transportation, urban safety, environment monitoring, and many others. Sens...
Mario Di Francesco, Kunal Shah, Mohan Kumar, Giuse...
ESWS
2009
Springer
15 years 10 months ago
Hybrid Adaptive Web Service Selection with SAWSDL-MX and WSDL-Analyzer
Abstract. In this paper, we present an adaptive, hybrid semantic matchmaker for SAWSDL services, called SAWSDL-MX2. It determines three kinds of semantic service similarity with a ...
Matthias Klusch, Patrick Kapahnke, Ingo Zinnikus
CIKM
2008
Springer
15 years 8 months ago
AdaSum: an adaptive model for summarization
Topic representation mismatch is a key problem in topic-oriented summarization for the specified topic is usually too short to understand/interpret. This paper proposes a novel ad...
Jin Zhang, Xueqi Cheng, Gaowei Wu, Hongbo Xu
176
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SDM
2008
SIAM
134views Data Mining» more  SDM 2008»
15 years 8 months ago
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
NIPS
2007
15 years 8 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...