Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
In the Engineering discipline, prognostics play an essential role in improving system safety,
reliability and enabling predictive maintenance decision-making. Due to the adoption of …
reliability and enabling predictive maintenance decision-making. Due to the adoption of …
Discrete Bayesian network classifiers: A survey
C Bielza, P Larranaga - ACM Computing Surveys (CSUR), 2014 - dl.acm.org
We have had to wait over 30 years since the naive Bayes model was first introduced in 1960
for the so-called Bayesian network classifiers to resurge. Based on Bayesian networks …
for the so-called Bayesian network classifiers to resurge. Based on Bayesian networks …
Task failure prediction in cloud data centers using deep learning
A large-scale cloud data center needs to provide high service reliability and availability with
low failure occurrence probability. However, current large-scale cloud data centers still face …
low failure occurrence probability. However, current large-scale cloud data centers still face …
Multiple instance learning: A survey of problem characteristics and applications
Multiple instance learning (MIL) is a form of weakly supervised learning where training
instances are arranged in sets, called bags, and a label is provided for the entire bag. This …
instances are arranged in sets, called bags, and a label is provided for the entire bag. This …
SAN performance analysis tool
RB Jacoby, HE Arnold - US Patent 9,454,423, 2016 - Google Patents
The present invention is directed to a method and informa tion handling system (IHS) for
improving system perfor mance in a storage area network. An embodiment of the present …
improving system perfor mance in a storage area network. An embodiment of the present …
A survey of aiops methods for failure management
Modern society is increasingly moving toward complex and distributed computing systems.
The increase in scale and complexity of these systems challenges O&M teams that perform …
The increase in scale and complexity of these systems challenges O&M teams that perform …
[PDF][PDF] An Extension on" Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons.
In a recently published paper in JMLR, Demšar (2006) recommends a set of non-parametric
statistical tests and procedures which can be safely used for comparing the performance of …
statistical tests and procedures which can be safely used for comparing the performance of …
Assessing predictive performance of supervised machine learning algorithms for a diamond pricing model
This study conducted a comprehensive analysis of multiple supervised machine learning
models, regressors and classifiers, to accurately predict diamond prices. Diamond pricing is …
models, regressors and classifiers, to accurately predict diamond prices. Diamond pricing is …
[PDF][PDF] Failure trends in a large disk drive population
E Pinheiro, WD Weber, LA Barroso - 2007 - usenix.org
It is estimated that over 90% of all new information produced in the world is being stored on
magnetic media, most of it on hard disk drives. Despite their importance, there is relatively …
magnetic media, most of it on hard disk drives. Despite their importance, there is relatively …
Making disk failure predictions {SMARTer}!
Disk drives are one of the most commonly replaced hardware components and continue to
pose challenges for accurate failure prediction. In this work, we present analysis and …
pose challenges for accurate failure prediction. In this work, we present analysis and …