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» Methods to Learn Abstract Scheduling Models
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ARCS
2004
Springer
14 years 28 days ago
Root Cause Analysis as a Guide to SRE Methods
Abstract: Which Software Reliability Engineering (SRE) methods should be applied during the various phases of the lifecycle of a product? The answer given here centres on learning ...
Timm Grams
IJCNN
2006
IEEE
14 years 1 months ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
RTCSA
2009
IEEE
14 years 2 months ago
Managing Imprecise Worst Case Execution Times on DVFS Platforms
Abstract—Although energy-efficient real-time task scheduling has attracted a lot of attention in the past decade, most existing results assumed deterministic execution lengths f...
Vandy Berten, Chi-Ju Chang, Tei-Wei Kuo
IJCNN
2008
IEEE
14 years 1 months ago
Learning adaptive subject-independent P300 models for EEG-based brain-computer interfaces
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
Shijian Lu, Cuntai Guan, Haihong Zhang
ACML
2009
Springer
14 years 2 months ago
Community Detection on Weighted Networks: A Variational Bayesian Method
Abstract. Massive real-world data are network-structured, such as social network, relationship between proteins and power grid. Discovering the latent communities is a useful way f...
Qixia Jiang, Yan Zhang, Maosong Sun