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BMCBI
2007
139views more  BMCBI 2007»
15 years 6 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek
HPCA
2003
IEEE
16 years 6 months ago
Power-Aware Control Speculation through Selective Throttling
With the constant advances in technology that lead to the increasing of the transistor count and processor frequency, power dissipation is becoming one of the major issues in high...
Juan L. Aragón, José González...
CADE
2001
Springer
16 years 6 months ago
Context Trees
Context trees are a popular and effective tool for tasks such as compression, sequential prediction, and language modeling. We present an algebraic perspective of context trees for...
Harald Ganzinger, Robert Nieuwenhuis, Pilar Nivela
CCE
2006
15 years 6 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang
TCOM
2008
124views more  TCOM 2008»
15 years 6 months ago
Reliable adaptive modulation and interference mitigation for mobile radio slow frequency hopping channels
: Due to correlated fading in frequency hopping (FH) wireless communication systems, it is possible to predict the future channel state information (CSI) for one frequency based on...
Ming Lei, Alexandra Duel-Hallen, Hans Hallen