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ESANN
2004
14 years 11 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
UAI
2000
14 years 11 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
SIGMOD
2010
ACM
207views Database» more  SIGMOD 2010»
14 years 10 months ago
Leveraging spatio-temporal redundancy for RFID data cleansing
Radio Frequency Identification (RFID) technologies are used in many applications for data collection. However, raw RFID readings are usually of low quality and may contain many an...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang, Min-Te Su...
BMCBI
2008
107views more  BMCBI 2008»
14 years 10 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
TCSV
2008
277views more  TCSV 2008»
14 years 9 months ago
Automatic Single View-Based 3-D Face Synthesis for Unsupervised Multimedia Applications
Abstract--Various 3-D face synthesis techniques have been proposed and extensively used in many applications. Compared with others, single view-based face synthesis technology allo...
Yun Sheng, Abdul H. Sadka, Ahmet M. Kondoz