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» On the Error Parameter of Dispersers
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ACSC
2004
IEEE
15 years 5 months ago
Learning Models for English Speech Recognition
This paper reports on an experiment to determine the optimal parameters for a speech recogniser that is part of a computer aided instruction system for assisting learners of Engli...
Huayang Xie, Peter Andreae, Mengjie Zhang, Paul Wa...
CORR
2010
Springer
142views Education» more  CORR 2010»
15 years 16 days ago
HyperANF: Approximating the Neighbourhood Function of Very Large Graphs on a Budget
The neighbourhood function NG(t) of a graph G gives, for each t ∈ N, the number of pairs of nodes x, y such that y is reachable from x in less that t hops. The neighbourhood fun...
Paolo Boldi, Marco Rosa, Sebastiano Vigna
ICC
2007
IEEE
143views Communications» more  ICC 2007»
15 years 8 months ago
The Impact of the I/Q Mismatching Errors on the BER Performance of OFDM Communication Systems
Orthogonal frequency division multiplexing (OFDM) signals are very sensitive to radio frequency (RF) impairments. One of the major impairments is the mismatching errors between the...
Nguyen Thanh Hieu, Heung-Gyoon Ryu, Cheng-Xiang Wa...
DFT
2006
IEEE
92views VLSI» more  DFT 2006»
15 years 8 months ago
Low-Cost Hardening of Image Processing Applications Against Soft Errors
Image processing systems are increasingly used in safetycritical applications, and their hardening against soft errors becomes an issue. We propose a methodology to identify soft ...
Ilia Polian, Bernd Becker, Masato Nakasato, Satosh...
NCI
2004
141views Neural Networks» more  NCI 2004»
15 years 3 months ago
Estimating the error at given test input points for linear regression
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
Masashi Sugiyama