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» Intelligent Selection of Language Model Training Data
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ICML
2005
IEEE
16 years 5 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
CIKM
2011
Springer
14 years 4 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
IHI
2010
132views Healthcare» more  IHI 2010»
14 years 11 months ago
Section classification in clinical notes using supervised hidden markov model
As more and more information is available in the Electronic Health Record in the form of free-text narrative, there is a need for automated tools, which can process and understand...
Ying Li, Sharon Lipsky Gorman, Noemie Elhadad
IVA
2009
Springer
15 years 10 months ago
Augmenting Gesture Animation with Motion Capture Data to Provide Full-Body Engagement
Abstract. Effective speakers engage their whole body when they gesture. It is difficult, however, to create such full body motion in animated agents while still supporting a large...
Pengcheng Luo, Michael Kipp, Michael Neff
DATE
2000
IEEE
113views Hardware» more  DATE 2000»
15 years 8 months ago
MASCOT: A Specification and Cosimulation Method Integrating Data and Control Flow
We integrate data and control flow at the system specification level, using the two specialized and well established languages Matlab and SDL. For this we provide a modeling techn...
Per Bjuréus, Axel Jantsch