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» Sensor Errors Prediction Using Neural Networks
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TNN
2010
168views Management» more  TNN 2010»
14 years 9 months ago
On the selection of weight decay parameter for faulty networks
The weight-decay technique is an effective approach to handle overfitting and weight fault. For fault-free networks, without an appropriate value of decay parameter, the trained ne...
Andrew Chi-Sing Leung, Hongjiang Wang, John Sum
126
Voted
IUI
2009
ACM
15 years 11 months ago
Parakeet: a demonstration of speech recognition on a mobile touch-screen device
We demonstrate Parakeet – a continuous speech recognition system for mobile touch-screen devices. Parakeet’s interface is designed to make correcting errors easy on a handheld...
Keith Vertanen, Per Ola Kristensson
131
Voted
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 6 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
NIPS
2004
15 years 4 months ago
Result Analysis of the NIPS 2003 Feature Selection Challenge
The NIPS 2003 workshops included a feature selection competition organized by the authors. We provided participants with five datasets from different application domains and calle...
Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon...
123
Voted
SIGCOMM
2005
ACM
15 years 8 months ago
On the predictability of large transfer TCP throughput
Predicting the throughput of large TCP transfers is important for a broad class of applications. This paper focuses on the design, empirical evaluation, and analysis of TCP throug...
Qi He, Constantinos Dovrolis, Mostafa H. Ammar