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Generalizable and interpretable learning for configuration extrapolation

Yi Ding, Ahsan Pervaiz, Michael Carbin, Henry Hoffmann
2021 Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering  
To incorporate prior knowledge, the proposed tools (1) start from known configurations, (2) iteratively construct a new linear model, (3) extrapolate better performance configurations from that model,  ...  We enhance this property with a graphical representation of how they arrived at the highest performance configuration.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.  ... 
doi:10.1145/3468264.3468603 fatcat:kfo5bmezwnbmtoinpnv2n5mbki

Collaborative learning model of infrastructure construction: a capability perspective

Karen Manley, Le Chen
2015 Construction Innovation  
This Standard Model is extended to derive a novel Circular Model of dynamic learning capability that shows a new feedback loop between performance and learning.  ...  Model of dynamic learning capability.  ...  The learning system is socially complex due to the tacit nature of much knowledge. As a result, organisation members have incomplete knowledge of the learning system.  ... 
doi:10.1108/ci-05-2014-0031 fatcat:m2zlabqrrvcbtbhd4vg4qujysm

GVIS: A Facility for Adaptively Mashing Up and Representing Open Learner Models [chapter]

Luca Mazzola, Riccardo Mazza
2010 Lecture Notes in Computer Science  
The system is highly configurable: data sources, data aggregations, and visualizations can be configured on the fly without changing any part of the software and have an adaptive behavior based on user's  ...  We explored this approach in the context of Life Long Learning, where different platforms or services are often used to support the learning process.  ...  One of the most important components of adaptive learning systems is the student model, which is in charge of keeping track of the student's knowledge and skills acquired during the learning process.  ... 
doi:10.1007/978-3-642-16020-2_53 fatcat:f5braq5dwrf4ngtw6winw7h3gm

Ontologic Design of Software Engineering Knowledge Area Knowledge Components

Bulat Kubekov, Anar Utegenova, Leonid Bobrov, Vitaliy Naumenko, Aibek Ibraimkulov
2020 Advances in Science, Technology and Engineering Systems  
The design process of disciplines knowledge content degree programs and individual learning guidelines is connected with specifying the knowledge content frame, the configuration of which is defined with  ...  in the form of knowledge expressions and knowledge components, and secondly, secure the knowledge components semantic interoperability withing the frame of their usage in educational environment and systems  ...  Acknowledgment The work has been executed with the support of the Ministry of education and science of the Republic of Kazakhstan, grant № AP05134973.  ... 
doi:10.25046/aj050404 fatcat:nm25nf5rh5csrlwkvpiwycedmu

BoGraph: Structured Bayesian Optimization From Logs for Systems with High-dimensional Parameter Space [article]

Sami Alabed, Eiko Yoneki
2021 arXiv   pre-print
BoAnon provides an API enabling experts to encode knowledge of the system as performance models or components dependency.  ...  However, the complexity of building probabilistic models has hindered its wider adoption. We propose BoAnon, a SBO framework that learns the system structure from its logs.  ...  Acknowledgements A special thanks to Mihai Bujanca, Thomas Vanderstichele, and Yomna El-Serafy for their comments that improved the readability of the paper.  ... 
arXiv:2112.08774v1 fatcat:gu2axmdfbrap7kgnktmyliln5e

Proposal for a Multiagent Architecture for Self-Organizing Systems (MA-SOS) [chapter]

Niriaska Perozo, Jose Aguilar, Oswaldo Terán
2008 Lecture Notes in Computer Science  
This work investigates the trade-off between individual and collective behavior, to dynamically satisfy the requirements of the system through self-organization of its activities and individual (agent)  ...  For this purpose, it is considered that each agent varies its behavioral laws (behaviorswitching) dynamically, guided by its emotional state in a certain time instant.  ...  point of view.  ... 
doi:10.1007/978-3-540-69304-8_45 fatcat:r3uwnnqprvdbbhkyqroxntpwwu

Contextual cuing as a form of nonconscious learning: Theoretical and empirical analysis in large and very large samples

Ben Colagiuri, E. J. Livesey
2016 Psychonomic Bulletin & Review  
low in a model assuming a single memory source drives learning and awareness.  ...  The data support the absence of a positive relationship between recognition and the cuing effect both at the participant and configuration level, the probability of which being a false negative is very  ...  Acknowledgments Ben Colagiuri was a recipient of a University of New South Wales Vice-Chancellor's Postdoctoral Research Fellowship (RG104440-1) while conducting the first experiment in this report.  ... 
doi:10.3758/s13423-016-1063-0 pmid:27220995 fatcat:c7fwqeyryzdczb35stvcy7ti3e

GVIS: An Integrating Infrastructure for Adaptively Mashing up User Data from Different Sources

Luca Mazzola, Riccardo Mazza
2010 2010 14th International Conference Information Visualisation  
We applied our infrastructure to a set of federated Learning Management Systems, retrieving information from different sources and creating some indicators of the learning activity.  ...  The system is highly configurable and adaptive: data sources, data aggregations, and visualizations can be configured on the fly by the administrative user without changing any part of the software, and  ...  The configuration of the dashboard can be personalized based on some parameters set at a system level.  ... 
doi:10.1109/iv.2010.19 dblp:conf/iv/MazzolaM10 fatcat:7lelm2fkqrcuvcgu2f72k7jpru

Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis [article]

Pooyan Jamshidi, Norbert Siegmund, Miguel Velez, Christian Kästner, Akshay Patel, Yuvraj Agarwal
2017 arXiv   pre-print
While this line of research is promising to learn more accurate models at a lower cost, it is unclear why and when transfer learning works for performance modeling.  ...  Recently, transfer learning has been applied to reduce the effort of constructing performance models by transferring knowledge about performance behavior across environments.  ...  Kaestner's work is also supported by NSF awards 1318808 and 1552944 and the Science of Security Lablet (H9823014C0140).  ... 
arXiv:1709.02280v1 fatcat:44hubsccozegrcgnmfscjzq7ba

Transfer Learning for Improving Model Predictions in Highly Configurable Software [article]

Pooyan Jamshidi, Miguel Velez, Christian Kästner, Norbert Siegmund, Prasad Kawthekar
2017 arXiv   pre-print
Usually, we learn a black-box model based on real measurements to predict the performance of the system given a specific configuration.  ...  We propose a different solution: Instead of taking the measurements from the real system, we learn the model using samples from other sources, such as simulators that approximate performance of the real  ...  Kaestner's work is also supported by NSF awards 1318808 and 1552944 and the Science of Security Lablet (H9823014C0140). Siegmund's work is supported by the DFG under the contract SI 2171/2.  ... 
arXiv:1704.00234v2 fatcat:4rja3jewinfjrb2zvkxy6kegmq

Integration of Semantically Annotated Data by the KnoFuss Architecture [chapter]

Andriy Nikolov, Victoria Uren, Enrico Motta, Anne de Roeck
2008 Lecture Notes in Computer Science  
Most of the existing work on information integration in the Semantic Web concentrates on resolving schema-level problems.  ...  This paper describes how these features are exploited in our architecture KnoFuss, designed to support data-level integration of semantic annotations.  ...  Acknowledgements This work was funded by the X-Media project ( sponsored by the European Commission as part of the Information Society Technologies (IST) programme under EC grant  ... 
doi:10.1007/978-3-540-87696-0_24 fatcat:tq4mnjwc4reuvcul6vxcwfshla

Learning about Ecological Systems by Constructing Qualitative Models with DynaLearn

Moshe Leiba, Ruth Zuzovsky, David Mioduser, Yehuda Benayahu, Rafi Nachmias
2012 Interdisciplinary Journal of e-Skills and Lifelong Learning  
A qualitative model of a system is an abstraction that captures ordinal knowledge and predicts the set of qualitatively possible behaviours of the system, given a qualitative description of its structure  ...  In summing up the results, it is clear that from the perspective of systems thinking, the modeling activity affected students' perception of systems making them able to represent it in a more dynamic and  ...  In recent years, there is strong support for the idea that Learning by Modeling (LbM), namely learning by manipulating and/or constructing models of the systems under study, is a promising pedagogical  ... 
doi:10.28945/1734 fatcat:wzeftldtlba43okcw2tvpydmei

KGSecConfig: A Knowledge Graph Based Approach for Secured Container Orchestrator Configuration [article]

Mubin Ul Haque, M. Mehdi Kholoosi, M. Ali Babar
2021 arXiv   pre-print
Our solution leverages keyword and learning models to systematically capture, link, and correlate heterogeneous and multi-vendor configuration space in a unified structure for supporting automation of  ...  For automating security configuration of CO, we propose a novel Knowledge Graph based Security Configuration, KGSecConfig, approach.  ...  learning model for minimizing the effect of bias.  ... 
arXiv:2112.12595v1 fatcat:3ddw5irclrgxfooe3chpwzqfpi

Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data [chapter]

Anders L. Madsen, Nicolaj Søndberg Jeppesen, Frank Jensen, Mohamed S. Sayed, Ulrich Moser, Luis Neto, Joao Reis, Niels Lohse
2017 Lecture Notes in Computer Science  
Acknowledgments This work is part of the project "Health Monitoring and Life-Long Capability Management for SELf-SUStaining Manufacturing Systems (SelSus)" which is funded by the Commission of the European  ...  and wider system-level models integrating component-level models.  ...  Next (3) , we report on a performance analysis of two levels of integration of the OOBN model into the SelSus architecture using Online EM and fractional updating for parameter learning.  ... 
doi:10.1007/978-3-319-61581-3_11 fatcat:op7no2zn3zhqlk7lavosi4esl4

Creating and Appropriating Value from Project Management Resource Assets Using an Integrated Systems Approach

Paul D. Gardiner
2014 Procedia - Social and Behavioral Sciences  
A micro-practice approach was adopted to identify activity configurations that represent the inflection points of value creation and appropriation in an integrated project management system.  ...  The aim of the research reported here is to identify and characterise relationships between learning processes, dynamic capabilities, knowledge management and project management resource assets.  ...  Brusoni, S., Prencipe, A., Salter, A., 1998. Mapping and measuring innovation in project-based firms, CoPS Working Paper No. 46, SPRU, University of Sussex.  ... 
doi:10.1016/j.sbspro.2014.03.012 fatcat:gsfsfz6cpnagndnkdangqustdm
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