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CSREAESA
2003
15 years 1 months ago
Static Pattern Predictor (SPP) Based Low Power Instruction Cache Design
Energy dissipation in cache memories is becoming a major design issue in embedded microprocessors. Predictive filter cache based instruction cache hierarchy is effective in reduci...
Kugan Vivekanandarajah, Thambipillai Srikanthan, C...
JMLR
2010
154views more  JMLR 2010»
14 years 6 months ago
Infinite Predictor Subspace Models for Multitask Learning
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Piyush Rai, Hal Daumé III
KES
2006
Springer
14 years 11 months ago
Predicting Cluster Formation in Decentralized Sensor Grids
This paper investigates cluster formation in decentralized sensor grids and focusses on predicting when the cluster formation converges to a stable configuration. The traffic volum...
Astrid Zeman, Mikhail Prokopenko
TNN
2008
171views more  TNN 2008»
14 years 11 months ago
Adaptive Dynamic Inversion via Time-Scale Separation
Abstract--This paper presents a full state feedback adaptive dynamic inversion method for uncertain systems that depend nonlinearly upon the control input. Using a specialized set ...
Naira Hovakimyan, E. Lavretsky, Chengyu Cao
BMCBI
2010
130views more  BMCBI 2010»
14 years 12 months ago
The behaviour of random forest permutation-based variable importance measures under predictor correlation
Background: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observ...
Kristin K. Nicodemus, James D. Malley, Carolin Str...