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A Community-Based Platform for Machine Learning Experimentation [chapter]

Joaquin Vanschoren, Hendrik Blockeel
2009 Lecture Notes in Computer Science  
We demonstrate the practical uses of a community-based platform for the sharing and in-depth investigation of the thousands of machine learning experiments executed every day.  ...  We believe such a system may speed up scientific discovery and enhance the scientific rigor of machine learning research.  ...  In this paper, we demonstrate a prototype of a community-based platform designed to do just this.  ... 
doi:10.1007/978-3-642-04174-7_56 fatcat:ircijyowjrfn5on24t2rno6guq

Introducing ReQuEST: an Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments [article]

Thierry Moreau, Anton Lokhmotov, Grigori Fursin
2018 arXiv   pre-print
Co-designing efficient machine learning based systems across the whole hardware/software stack to trade off speed, accuracy, energy and costs is becoming extremely complex and time consuming.  ...  We present our community effort to develop an open co-design tournament platform with an online public scoreboard.  ...  , accuracy, robustness and cost of machine learning based systems.  ... 
arXiv:1801.06378v1 fatcat:222injc24bft7jvh6s25x6bw4m

Developing Tele-Operated Laboratories for Manufacturing Engineering Education. Platform for E-Learning and Telemetric Experimentation (PeTEX)

Claudius Terkowsky, Isa Jahnke, Christian Pleul né: Burkhardt, Roberto Licari, Per Johannssen, Gianluca Buffa, Matthias Heiner, Livan Fratini, Ernesto LoValvo, Mihai Nicolescu, Johannes Wildt, A. Erman Tekkaya
2010 International Journal of Online Engineering (iJOE)  
The PeTEX team designs both: a technical platform for eLearning based on "Moodle" including distributed tele-operated experimentation facilities, and didactic and socio-technical requirements for a successful  ...  online learning community.  ...  A. Interfaces for data communication with experimental set-ups Both the tele-operated experimental set-ups and the users' PCs are connected to the e-learning platform via the Internet.  ... 
doi:10.3991/ijoe.v6s1.1378 fatcat:c7qjuwms2rfcrcpaphpdcjfxzq

Design on Personalized Teaching Platform Based on Virtual Desktop

Jiang-Hui LIU, Wei-Bo HUANG, Ling-Xi RUAN, Zhi-Feng CHEN
2018 DEStech Transactions on Social Science Education and Human Science  
Design on personalized teaching platform based on virtual desktop, can effectively ensure the security of experimental environment and reduce the complexity and workload in operation and deployment of  ...  The experimental results show that the platform can meet the needs of teaching, experiment and practice well.  ...  It provides a platform learning environment for individual teaching on the media and the arts.  ... 
doi:10.12783/dtssehs/icaem2017/19106 fatcat:lz7liflq55f2hb3juz3i4uchua

Design of Simulation Competition Platform Based on Cognitive Behavior Modeling

Junjie Zeng, Qi Zhang, Yunxiu Zeng, Long Qin, Mei Yang, Quanjun Yin
2021 Journal of Contemporary Educational Research  
To solve this problem, we propose a simulation competition platform based on cognitive behavior modeling, called TankSim, for undergraduate and graduate students.  ...  This platform aims to cultivate student's team collaboration and innovation capability, and improve their learning motivation.  ...  Considering that most machine learning algorithms are implemented based on languages, including python, this platform has improved the network communication interface to communicate with other languages  ... 
doi:10.26689/jcer.v5i8.2457 fatcat:sf3sjvvi4fdhro6iilcqkoth5q

Tele-Operated Laboratories for Online Production Engineering Education - Platform for E-Learning and Telemetric Experimentation (PeTEX)

Claudius Terkowsky, Christian Pleul, Isa Jahnke, A. Erman Tekkaya
2011 International Journal of Online Engineering (iJOE)  
The finalized EU-funded project PeTEX-Platform for e-Learning and Telemetric Experimentation has developed a prototype of an e-learning platform based on the learning and content management system Moodle  ...  multi-lingual learning community.  ...  The goal of the EU funded project PeTEX -Platform for E-Learning and Telemetric Experimentation was to design and develop a prototype as proof of concept for new teaching and learning arrangements in the  ... 
doi:10.3991/ijoe.v7is1.1725 fatcat:3kddkqidtzbsjcxcapelfovuuu

A Novel Experimental Platform for In-Vessel Multi-Chemical Molecular Communications [article]

Nariman Farsad, David Pan, Andrea Goldsmith
2017 arXiv   pre-print
This work presents a new multi-chemical experimental platform for molecular communication where the transmitter can release different chemicals.  ...  To demonstrate the capabilities of the platform, we implement a time-slotted binary communication system where a bit-0 is represented by an acid pulse, a bit-1 by a base pulse, and information is carried  ...  In this section, we describe two detection mechanisms based on machine learning: one based on support vector machines (SVM) [14] for symbol-by-symbol detection, and one using recurrent neural networks  ... 
arXiv:1704.04810v1 fatcat:5s7tw3bhuzhgvl52gdn5rcsrtq

GPU-Based Embedded Intelligence Architectures and Applications

Li Minn Ang, Kah Phooi Seng
2021 Electronics  
technologies for GPU-based deep learning techniques and applications are discussed in detail; and (3) Third, various architecture technologies for machine learning techniques and applications are discussed  ...  This paper gives a comprehensive review and representative studies of the emerging and current paradigms for GPU-based EI with the focus on the architecture, technologies and applications: (1) First, the  ...  There are two main classification descriptors which are reviewed and discussed in this paper for EI: (1) GPU-based deep learning technologies for EI; and (2) GPU-based machine learning technologies for  ... 
doi:10.3390/electronics10080952 fatcat:paubm2sevbhixi2in63ayflmti

Design and Implementation of Music Teaching Platform in College Based on Android Mobile Technology

Juan Tong
2016 International Journal of Emerging Technologies in Learning (iJET)  
This paper took chorus conduction in university music course as experiment subject, through analysis of teaching resources based on Android system and its design principle, analysis of teaching machine  ...  multi-media teaching is the trend for improving teaching approach, yet what is currently prevalent in university education is its low interaction and inefficient knowledge absorption level.  ...  EFFECT ANALYSIS OF ANDROID-BASED TEACHING MACHINE APPLICATION IN COLLEGE MUSIC COURSE A.  ... 
doi:10.3991/ijet.v11i05.5686 fatcat:dbmynejaangklb6gauuqdprfqu

LEOPARD

Annya Réquilé-Romanczuk, Christine Mingins, Brian Yap, Olivier Constant
2003 Proceedings of the second international joint conference on Autonomous agents and multiagent systems - AAMAS '03  
Motivated by recent developments in Category theory and Web Community Discovery, we have developed an experimental platform to design Agent-based Systems.  ...  The third layer is the LEOPARD application http://www.csse.monash.edu.au/~arequile/leopard.html for which this experimental platform was built, where Learning Object repository nodes and users are considered  ...  For our purpose, agents are homogeneous and are designed specifically for cooperating, thus a simple communication system has been design.  ... 
doi:10.1145/860575.860819 dblp:conf/atal/Requile-RomanczukMYC03 fatcat:zfat7fmorzgldd3tkdnoetglea

Neuromorphic Design Using Reward-based STDP Learning on Event-Based Reconfigurable Cluster Architecture

Mahyar Shahsavari, David Thomas, Andrew Brown, Wayne Luk
2021 International Conference on Neuromorphic Systems 2021  
In this paper, we present a neuromorphic system based on an asynchronous event-based hardware platform.  ...  , and machine learning.  ...  ACKNOWLEDGMENTS Thanks to Jonathan Beaumont and Matthew Naylor for their technical development supports. This work is sponsored by UK EPSRC grant EP/N031768/1 (POETS project).  ... 
doi:10.1145/3477145.3477151 fatcat:2onvwqn5crdjbopmhi6vwd44uq

vHadoop: A Scalable Hadoop Virtual Cluster Platform for MapReduce-Based Parallel Machine Learning with Performance Consideration

Kejiang Ye, Xiaohong Jiang, Yanzhang He, Xiang Li, Haiming Yan, Peng Huang
2012 2012 IEEE International Conference on Cluster Computing Workshops  
Experimental results verify the efficiency of vHadoop platform to process the MapReduce-based parallel machine learning applications.  ...  This paper focuses on the performance of hadoop virtual cluster and proposes a scalable hadoop virtual cluster platform vHadoop for the large-scale MapReduce-based parallel data processing.  ...  Experimental results verify the efficiency of vHadoop platform to process the MapReduce-based parallel machine learning applications.  ... 
doi:10.1109/clusterw.2012.32 dblp:conf/cluster/YeJHLYH12 fatcat:fipeybcjp5hm3coeei5zpaxday

Detecting a Stealthy Attack in Distributed Control for Microgrids using Machine Learning Algorithms

Mingxiao Ma, Abdelkader Lahmadi, Isabelle Chrisment
2020 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)  
We use the collected datasets to compare different attack detection algorithms based on multiple categories of machine learning algorithms.  ...  We collect datasets from a hardware platform modeled after a simplified microgrid and running the MaR attack performed with a Man-in-the-Middle (MitM) technique.  ...  In [8] , experimental investigations prove that machine learning algorithms outperform SVE-based methods in detection attacks for smart grid systems.  ... 
doi:10.1109/icps48405.2020.9274721 fatcat:7kibr2nx7nftrayqyxcecgqoxq

The Materials Research Platform: Defining the Requirements from User Stories

Muratahan Aykol, Jens S. Hummelshøj, Abraham Anapolsky, Koutarou Aoyagi, Martin Z. Bazant, Thomas Bligaard, Richard D. Braatz, Scott Broderick, Daniel Cogswell, John Dagdelen, Walter Drisdell, Edwin Garcia (+32 others)
2019 Matter  
Automation of Machine Learning An easy-to-use machine-learning and analyticsmoduleonthe platform, backed by a powerful UI that requires no deep expertise, developed as a common feature desired among multiple  ...  Machine learning for experiments; Machine learning for simulations; Multi-fidelity and uncertainty quantification; Reproducibility and provenance; Scale bridging; Simulation tools; Software infrastructure  ... 
doi:10.1016/j.matt.2019.10.024 fatcat:4x62sg5vsffa5bisoswm4hhnje

Research on vibration monitoring and fault diagnosis of rotating machinery based on internet of things technology

Xiaoran Zhang, Kantilal Pitambar Rane, Ismail Kakaravada, Mohammad Shabaz
2021 Nonlinear Engineering  
The experimental analysis based on the implementation of proposed approach provides and solution for the monitoring of machine condition and prediction of fault accurately based on cloud platform using  ...  The performance of fault detection and its classification by implementing machine-learning algorithms highly dependent on the amount of features involved.  ...  Services such as remote control, analysis of data, machine learning and deep learning can be implemented based on speci c application requirements through cloud platform. . .  ... 
doi:10.1515/nleng-2021-0019 fatcat:mgas3dnevfc75b72whljpa53da
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