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JMLR
2006
97views more  JMLR 2006»
13 years 9 months ago
Learning Coordinate Covariances via Gradients
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
Sayan Mukherjee, Ding-Xuan Zhou
TKDE
2008
96views more  TKDE 2008»
13 years 9 months ago
A Scrambling Method for Fingerprint Positioning Based on Temporal Diversity and Spatial Dependency
Signal strength fluctuation is one of the major problems in a fingerprint-based localization system. To alleviate this problem, we propose a scrambling method to exploit temporal d...
Sheng-Po Kuo, Yu-Chee Tseng
COMPUTING
2002
80views more  COMPUTING 2002»
13 years 9 months ago
A Method for Approximate Inversion of the Hyperbolic CDF
It has been observed by E. Eberlein and U. Keller that the hyperbolic distribution fits logarithmic rates of returns of a stock much better than the normal distribution. We give a...
Gunther Leobacher, Friedrich Pillichshammer
ETT
2002
92views Education» more  ETT 2002»
13 years 9 months ago
Most probable paths and performance formulae for buffers with gaussian input traffic
In this paper, performance formulae for a queue serving Gaussian traffic are presented. The main technique employed is motivated by a general form of Schilder's theorem, the ...
Ron Addie, Petteri Mannersalo, Ilkka Norros
TSMC
1998
97views more  TSMC 1998»
13 years 8 months ago
Parallel algorithms for modules of learning automata
— Parallel algorithms are presented for modules of learning automata with the objective of improving their speed of convergence without compromising accuracy. A general procedure...
M. A. L. Thathachar, M. T. Arvind