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» Minimization of entropy functionals
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WWW
2005
ACM
16 years 14 days ago
Applying NavOptim to minimise navigational effort
A major factor in the effectiveness of the interaction which users have with Web applications is the ease with which they can locate information and functionality which they are s...
David Lowe, Xiaoying Kong
ICML
2003
IEEE
16 years 18 days ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
MOBICOM
2006
ACM
15 years 5 months ago
On optimal communication cost for gathering correlated data through wireless sensor networks
In many energy-constrained wireless sensor networks, nodes cooperatively forward correlated sensed data to data sinks. In order to reduce the communication cost (e.g. overall ener...
Junning Liu, Micah Adler, Donald F. Towsley, Chun ...
ICPR
2008
IEEE
16 years 1 months ago
Bregman distance to L1 regularized logistic regression
In this work we investigate the relationship between Bregman distances and regularized Logistic Regression model. We present a detailed study of Bregman Distance minimization, a f...
Mithun Das Gupta, Thomas S. Huang
SIGPRO
2002
91views more  SIGPRO 2002»
14 years 11 months ago
Comparison of maximum entropy and minimal mutual information in a nonlinear setting
In blind source separation (BSS), two di erent separation techniques are mainly used: minimal mutual information (MMI), where minimization of the mutual output information yields ...
Fabian J. Theis, Christoph Bauer, Elmar Wolfgang L...