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COLING
2000
15 years 8 months ago
Automatic Corpus-Based Thai Word Extraction with the C4.5 Learning Algorithm
"Word" is difficult to define in the languages that do not exhibit explicit word boundary, such as Thai. Traditional methods on defining words for this kind of languages...
Virach Sornlertlamvanich, Tanapong Potipiti, Thats...
ICASSP
2010
IEEE
15 years 7 months ago
Learning sparse systems at sub-Nyquist rates: A frequency-domain approach
We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse respo...
Martin McCormick, Yue M. Lu, Martin Vetterli
NECO
2002
104views more  NECO 2002»
15 years 6 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
EMNLP
2009
15 years 4 months ago
How well does active learning
Machine involvement has the potential to speed up language documentation. We assess this potential with timed annotation experiments that consider annotator expertise, example sel...
Jason Baldridge, Alexis Palmer
BPM
2007
Springer
162views Business» more  BPM 2007»
16 years 1 months ago
The Predictive Aspect of Business Process Intelligence: Lessons Learned on Bridging IT and Business
This paper presents the arguments for a research proposal on predicting business events in a Business Process Intelligence (BPI) context. The paper argues that BPI holds a potentia...
Moisés Lima Pérez, Charles Mø...