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» Neural networks: Algorithms and applications
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BMCBI
2008
107views more  BMCBI 2008»
15 years 7 months ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng
CEC
2009
IEEE
16 years 2 months ago
Evolving coordinated quadruped gaits with the HyperNEAT generative encoding
— Legged robots show promise for complex mobility tasks, such as navigating rough terrain, but the design of their control software is both challenging and laborious. Traditional...
Jeff Clune, Benjamin E. Beckmann, Charles Ofria, R...
NIPS
1997
15 years 9 months ago
Relative Loss Bounds for Multidimensional Regression Problems
We study on-line generalized linear regression with multidimensional outputs, i.e., neural networks with multiple output nodes but no hidden nodes. We allow at the final layer tra...
Jyrki Kivinen, Manfred K. Warmuth
SENSYS
2009
ACM
16 years 2 months ago
Achieving range-free localization beyond connectivity
Wireless sensor networks have been proposed for many location-dependent applications. In such applications, the requirement of low system cost prohibits many range-based methods f...
Ziguo Zhong, Tian He
ICPADS
2008
IEEE
16 years 2 months ago
Mobility-Assisted Position Estimation in Wireless Sensor Networks
Wireless sensor networks (WSNs) have been proposed for a multitude of location-dependent applications. To stamp the collected data and facilitate communication protocols, it is nec...
Hongyang Chen, Pei Huang, Hing-Cheung So, Kaoru Se...