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» Neural methods for non-standard data
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ACL
2015
3 years 7 months ago
Improving Named Entity Recognition in Tweets via Detecting Non-Standard Words
Most previous work of text normalization on informal text made a strong assumption that the system has already known which tokens are non-standard words (NSW) and thus need normal...
Chen Li, Yang Liu
NN
2006
Springer
100views Neural Networks» more  NN 2006»
8 years 11 months ago
Exploratory analysis of climate data using source separation methods
Alexander Ilin, Harri Valpola, Erkki Oja
ESANN
2001
9 years 1 months ago
Some known facts about financial data
: Many researchers are interesting in applying the neural networks methods to financial data. In fact these data are very complex, and classical methods do not always give satisfac...
Eric de Bodt, Joseph Rynkiewicz, Marie Cottrell
JDCTA
2010
126views more  JDCTA 2010»
8 years 6 months ago
Continuous Neural Decoding Method Based on General Regression Neural Network
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication. This paper introduces a novel continuous neural de...
Jianhua Dai, Xiaochun Liu, Shaomin Zhang, Huaijian...
ESANN
2004
9 years 1 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
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