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MOR
2008
81views more  MOR 2008»
13 years 8 months ago
Risk Tuning with Generalized Linear Regression
A framework is set up in which linear regression, as a way of approximating a random variable by other random variables, can be carried out in a variety of ways, which moreover ca...
R. Tyrrell Rockafellar, Stan Uryasev, Michael Zaba...
ICMCS
2005
IEEE
78views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Partial Linear Regression for Audio-Driven Talking Head Application
Virtual avatars in many applications are constructed manually or by a single speech-driven model which needs a lot of training data and long training time. It’s an essential pro...
Chao-Kuei Hsieh, Yung-Chang Chen
ICDM
2009
IEEE
146views Data Mining» more  ICDM 2009»
14 years 3 months ago
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...
Dima Alberg, Mark Last, Roni Neuman, Avi Sharon
IDEAL
2004
Springer
14 years 2 months ago
Orthogonal Least Square with Boosting for Regression
A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. This technique tunes the mean vector and diagonal c...
Sheng Chen, Xunxian Wang, David J. Brown
FMCAD
2006
Springer
14 years 15 days ago
Thorough Checking Revisited
Recent years have seen a proliferation of 3-valued or capturing abstractions of systems, since these enable verifying both universal and existential properties. Reasoning about suc...
Shiva Nejati, Mihaela Gheorghiu, Marsha Chechik