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ICML
2004
IEEE
15 years 10 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan
DAC
2005
ACM
15 years 10 months ago
A non-parametric approach for dynamic range estimation of nonlinear systems
It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore th...
Bin Wu, Jianwen Zhu, Farid N. Najm
ICASSP
2008
IEEE
15 years 4 months ago
A new mutual information measure for independent component alalysis
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
Jen-Tzung Chien, Hsin-Lung Hsieh, Sadaoki Furui
JMLR
2010
118views more  JMLR 2010»
14 years 4 months ago
Gaussian processes with monotonicity information
A method for using monotonicity information in multivariate Gaussian process regression and classification is proposed. Monotonicity information is introduced with virtual derivat...
Jaakko Riihimäki, Aki Vehtari
IROS
2008
IEEE
191views Robotics» more  IROS 2008»
15 years 4 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters