Network learning: episodes of interorganizational learning towards a collective performance goal
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DOI: 10.1016/j.emj.2016.09.001
Abstract: Little is known about learning processes in horizontal networks. This study focuses on networks as learning entities, i.e. learning by multiple organizations as a group, and the mechanisms involved in developing and addressing a network-level… read more here.
Keywords: network learning; performance goal; network;
RANDOM NEURAL NETWORK LEARNING HEURISTICS – CORRIGENDUM
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DOI: 10.1017/s0269964817000298
Abstract: doi:10.1017/S0269964817000201, Published by Cambridge University Press, 22 May 2017. The original publication of this article contained an error in the affiliation list. The correct author and affiliation list is republished here. Abbas Javed, Hadi Larijani… read more here.
Keywords: learning heuristics; random neural; heuristics corrigendum; university ... See more keywords
A Siamese neural network for learning the similarity metrics of linear features
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DOI: 10.1080/13658816.2022.2143505
Abstract: Abstract Measuring similarity is essential for classifying, clustering, retrieving, and matching linear features in geospatial data. However, the complexity of linear features challenges the formalization of characteristics and determination of the weight of each characteristic… read more here.
Keywords: neural network; linear features; similarity; siamese neural ... See more keywords
Linking Network Learning Capacity (NLC) to professional community and organizational learning in an International Baccalaureate (IB) school in Taiwan
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DOI: 10.1108/jea-10-2017-0150
Abstract: Purpose The purpose of this paper is to explore a concept that has been less examined in empirical research on school organization, namely Network Learning Capacity (NLC). It is proposed that teachers’ professional networks enhance… read more here.
Keywords: network; capacity nlc; community; learning capacity ... See more keywords
Privacy in Neural Network Learning: Threats and Countermeasures
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DOI: 10.1109/mnet.2018.1700447
Abstract: Algorithmic breakthroughs, the feasibility of collecting huge amount of data, and increasing computational power, contribute to the remarkable achievements of NNs. In particular, since Deep Neural Network (DNN) learning presents astonishing results in speech and… read more here.
Keywords: privacy neural; neural network; network; network learning ... See more keywords
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From Peking University
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3206099
Abstract: Ankit Srivastava et al. (Srivastava et al. 2020) proposed a parallel framework for Constraint-Based Bayesian Network (BN) Learning via Markov Blanket Discovery (referred to as ramBLe) and implemented it over three existing BN learning algorithms,… read more here.
Keywords: parallel framework; constraint based; network learning; based bayesian ... See more keywords
Critique of “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From Tsinghua University
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3209723
Abstract: Srivastava et al. propose a parallel framework to optimize Bayesian network learning in the SC20 article entitled “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery”. They parallelize all the phases in… read more here.
Keywords: article; network; parallel framework; network learning ... See more keywords
Blockwise Recursive Moore–Penrose Inverse for Network Learning
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DOI: 10.1109/tsmc.2021.3064241
Abstract: Training neural networks with the Moore–Penrose (MP) inverse has recently gained attention in view of its noniterative training nature. However, a significant drawback of learning based on the MP inverse is that the computational memory… read more here.
Keywords: moore penrose; inverse; network learning; blockwise recursive ... See more keywords
THE UNESCO GLOBAL NETWORK OF LEARNING CITIES: TOOLS FOR THE PROGRESS MONITORING
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DOI: 10.24195/2414-4665-2017-4-13
Abstract: 74 Science and Education, 2017, Issue 4 UDC: 374.7.091(477) DOI: https://doi.org/10.24195/2414-4665-2017-4-13 Serhii Pryima, Doctor of Pedagogy, professor, Department of Pedagogy and Pedagogical Skills, Melitopol Bohdan Khmelnytsky State Pedagogical University, 20, Hetmanska Str., Melitopol, Ukraine, Dayong… read more here.
Keywords: global network; network learning; learning cities; unesco global ... See more keywords