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» Learning Algorithms for Domain Adaptation
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TMC
2008
123views more  TMC 2008»
15 years 6 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
ICASSP
2009
IEEE
15 years 4 months 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...
COMPGEOM
2004
ACM
15 years 10 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...
CORR
2010
Springer
96views Education» more  CORR 2010»
15 years 6 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. ...
ML
1998
ACM
102views Machine Learning» more  ML 1998»
15 years 6 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