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» Prediction intervals for regression models
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OSDI
2008
ACM
14 years 10 months ago
Run-time Energy Consumption Estimation Based on Workload in Server Systems
This paper proposes to develop a system-wide energy consumption model for servers by making use of hardware performance counters and experimental measurements. We develop a real-t...
Adam Lewis, Soumik Ghosh, Nian-Feng Tzeng
CVPR
2012
IEEE
12 years 9 days ago
Boosting bottom-up and top-down visual features for saliency estimation
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Ali Borji
VR
2003
IEEE
267views Virtual Reality» more  VR 2003»
14 years 3 months ago
An Experiment Comparing Double Exponential Smoothing and Kalman Filter-Based Predictive Tracking Algorithms
We present an experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms with derivative free measurement models. Our results show t...
Joseph J. LaViola Jr.
ICCAD
2004
IEEE
147views Hardware» more  ICCAD 2004»
14 years 6 months ago
Interval-valued reduced order statistical interconnect modeling
9, IO]. However, unlike the case with static timing, it is not so easy We show how recent advances in the handling of correlated interval representations of range uncertainty can b...
James D. Ma, Rob A. Rutenbar
ICDM
2008
IEEE
102views Data Mining» more  ICDM 2008»
14 years 4 months ago
A Non-parametric Semi-supervised Discretization Method
Semi-supervised classification methods aim to exploit labelled and unlabelled examples to train a predictive model. Most of these approaches make assumptions on the distribution ...
Alexis Bondu, Marc Boullé, Vincent Lemaire,...