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AUTOMATICA
2010
98views more  AUTOMATICA 2010»
15 years 5 months ago
Explicit use of probabilistic distributions in linear predictive control
: The guarantee of feasibility given feasibility at initial time is an issue that has been overlooked by many of the recent papers on stochastic model predictive control. Effective...
Basil Kouvaritakis, Mark Cannon, Sasa V. Rakovic, ...
CIKM
2011
Springer
14 years 6 months ago
Structural link analysis and prediction in microblogs
With hundreds of millions of participants, social media services have become commonplace. Unlike a traditional social network service, a microblogging network like Twitter is a hy...
Dawei Yin, Liangjie Hong, Brian D. Davison
NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 6 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
INTERSPEECH
2010
15 years 1 months ago
Predicting word accuracy for the automatic speech recognition of non-native speech
We have developed an automated method that predicts the word accuracy of a speech recognition system for non-native speech, in the context of speaking proficiency scoring. A model...
Su-Youn Yoon, Lei Chen, Klaus Zechner
CHI
1999
ACM
15 years 10 months ago
The Design and Evaluation of a High-Performance Soft Keyboard
The design and evaluation of a high performance soft keyboard for mobile systems are described. Using a model to predict the upper-bound text entry rate for soft keyboards, we des...
I. Scott MacKenzie, Shawn X. Zhang