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ICANN
2009
Springer
16 years 28 days ago
Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutil...
VRML
2004
ACM
15 years 11 months ago
3TP: 3-D models transport protocol
This paper addresses the problem of streaming progressively compressed 3-D models over lossy networks. Out of all encoded packets that can be transmitted, we intelligently choose ...
Ghassan Al-Regib, Yucel Altunbasak
TMC
2010
135views more  TMC 2010»
15 years 4 months ago
Maximizing the Lifetime of Wireless Sensor Networks with Mobile Sink in Delay-Tolerant Applications
—This paper proposes a framework to maximize the lifetime the wireless sensor network (WSN) by using a mobile sink when the underlying applications tolerate delayed information d...
YoungSang Yun, Ye Xia
CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 4 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
EUC
2005
Springer
15 years 12 months ago
PULSE: A MAC Protocol for RFID Networks
1 The reader collision problem occurs when the signal from one reader interferes with the signal from other readers. Solutions like RTS-CTS are not applicable because a reader may ...
Shailesh M. Birari, Sridhar Iyer