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» Learning Algorithms for Domain Adaptation
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138
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TMC
2008
123views more  TMC 2008»
15 years 2 months ago
Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation
In wireless networks, a client's locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for ...
Jie Yin, Qiang Yang, Lionel M. Ni
195
Voted
ICASSP
2009
IEEE
15 years 17 days ago
Minimum BER beamforming in the RF domain for OFDM transmissions and linear receivers
In this paper, we study transmission schemes for a novel OFDMbased MIMO system which performs adaptive signal combining in radio-frequency (RF). Specifically, we consider the prob...
Javier Vía, Victor Elvira, Ignacio Santamar...
132
Voted
COMPGEOM
2004
ACM
15 years 6 months ago
Spacetime meshing with adaptive refinement and coarsening
We propose a new algorithm for constructing finite-element meshes suitable for spacetime discontinuous Galerkin solutions of linear hyperbolic PDEs. Given a triangular mesh of som...
Reza Abedi, Shuo-Heng Chung, Jeff Erickson, Yong F...
108
Voted
CORR
2010
Springer
96views Education» more  CORR 2010»
15 years 2 months ago
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
The problem of learning forest-structured discrete graphical models from i.i.d. samples is considered. An algorithm based on pruning of the Chow-Liu tree through adaptive threshol...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
116
Voted
ML
1998
ACM
102views Machine Learning» more  ML 1998»
15 years 2 months ago
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Renato Vicente, Osame Kinouchi, Nestor Caticha