Results 31 to 40 of about 348,888 (311)
GRID Resource Searching on the GridSim Simulator [PDF]
, 2009 Nowadays, the Grid is the focus of multiple researches. Our work is centered on Resource Management for Grids as it is an opened and current research area. Decentralized, scalable and efficient resource search algorithms are one of the key issues for resource management in large Grid systems.
Antonia Gallardo +4 more
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Research on fault diagnosis method of ventilation network based on machine learning
Gong-kuang zidonghua, 2022 The machine learning algorithm predicts unknown data by learning known data. Most of the existing fault diagnosis methods of ventilation system focus on a machine learning algorithm, which can not guarantee the selected algorithm to be optimal.
ZHANG Lang +3 more
doaj +1 more source
Hyperparameter Tuning on Classification Algorithm with Grid Search
SISTEMASI, 2022 Currently, machine learning algorithms continue to be developed to perform optimization with various methods to produce the best-performing model. In Supervised learning or classification, most of the algorithms have hyperparameters. Tuning hyperparameter is an architecture of deep learning to improve the performance of predictive models.
Wahyu Nugraha, Agung Sasongko
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Grid infrastructures for secure access to and use of bioinformatics data: experiences from the BRIDGES project [PDF]
, 2006 The BRIDGES project was funded by the UK Department of Trade and Industry (DTI) to address the needs of cardiovascular research scientists investigating the genetic causes of hypertension as part of the Wellcome Trust funded (£4.34M) cardiovascular ...
Bayer, M. +8 more
core +1 more source
Energies, 2023 Accurate multivariate load forecasting plays an important role in the planning management and safe operation of integrated energy systems. In order to simultaneously reduce the prediction bias and variance, a hybrid ensemble learning method for load ...
Wenxia You +3 more
doaj +1 more source
Safe Grid Search with Optimal Complexity
CoRR, 2018 Popular machine learning estimators involve regularization parameters that can be challenging to tune, and standard strategies rely on grid search for this task. In this paper, we revisit the techniques of approximating the regularization path up to predefined tolerance $ε$ in a unified framework and show that its complexity is $O(1/\sqrt[d]ε)$ for ...
Eugène Ndiaye +4 more
openaire +3 more sources
Urban ScienceAdvancing urban scholarship and addressing pressing challenges such as gentrification, housing affordability, and urban sprawl require robust predictive models.
Tris Kee, Winky K.O. Ho
doaj +1 more source
Energies, 2022 Recently, “power cuts” and “coal price surges” have been significant concerns of individuals and societies. The main reasons for a power cut are a recent rapid increase in power consumption, shortage of thermal coal or the large shutdown capacity of ...
Yuanying Chi +3 more
doaj +1 more source
Delivering data management for engineers on the grid [PDF]
, 2003 We describe the design and implementation of a database toolkit for engineers, which has been incorporated into the Matlab environment, to help manage the large amount of data created in distributed applications.
Molinari, Marc +7 more
core +1 more source
Searching for Translated Plagiarism with the Help of Desktop Grids [PDF]
Journal of Grid Computing, 2012 Translated or cross-lingual plagiarism is defined as the translation of someone else's work or words without marking it as such or without giving credit to the original author. The existence of cross-lingual plagiarism is not new, but only in recent years, due to the rapid development of the natural language processing, appeared the first algorithms ...
Máté Pataki, Csaba Attila Marosi
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