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» Predictive Matrix-Variate t Models
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130
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MA
2010
Springer
132views Communications» more  MA 2010»
15 years 1 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki
96
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SIGDIAL
2010
15 years 18 days ago
Modeling User Satisfaction Transitions in Dialogues from Overall Ratings
This paper proposes a novel approach for predicting user satisfaction transitions during a dialogue only from the ratings given to entire dialogues, with the aim of reducing the c...
Ryuichiro Higashinaka, Yasuhiro Minami, Kohji Dohs...
135
Voted
TIP
2010
123views more  TIP 2010»
15 years 1 months ago
Optimizing Motion Compensated Prediction for Error Resilient Video Coding
—This paper is concerned with optimization of the motion compensated prediction framework to improve the error resilience of video coding for transmission over lossy networks. Fi...
Hua Yang, Kenneth Rose
111
Voted
WAIM
2010
Springer
15 years 1 months ago
Hotspot District Trajectory Prediction
Trajectory prediction (TP) of moving objects has grown rapidly to be a new exciting paradigm. However, existing prediction algorithms mainly employ kinematical models to approximat...
Hongjun Li, Changjie Tang, Shaojie Qiao, Yue Wang,...
124
Voted
QRE
2010
129views more  QRE 2010»
15 years 1 months ago
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
Rajesh Ganesan, Poornima Balakrishna, Lance Sherry