Results 31 to 40 of about 595,936 (267)
Web-Based Employee Competence Database Design [PDF]
E3S Web of Conferences, 2023 One of the challenges faced in this era includes current information, namely the handling and management of big data related to employee company information.
Indriwan Fathir Ma’ruf +1 more
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Performance analysis of the temporary stockpile reclaimer system in the mining industry using the Overall Throughput Effectiveness (OTE) method [PDF]
E3S Web of Conferences, 2023 The increasing target of coal mining production every year needs to be supported by a reliable performance of the temporary stockpile reclaimer system, in order to ensure a smooth transfer of coal from the temporary stockpile to the main stockpile and ...
Yulianto Hubertus Davy +2 more
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Crowd Face Detection with Naive Bayes in Attendance System Using Raspberry Pi [PDF]
E3S Web of Conferences, 2023 PT. Restu Agung Narogong is a company with a total of 176 employees, queues often occur in the attendance process, both incoming and outgoing attendance. The employee needs to register their attendance.
Rahman Riki Fauzi, Suharjito
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The Effect of Earnings Volatility, Income Smoothing, Corporate Governance, and Firm Size on Earnings Quality Conventional Banks in Indonesia [PDF]
E3S Web of Conferences, 2023 Although there are many other factors that influence a country's economic development, banks are one of the most important factors in the economy. Considering that if the banking system is unstable and does not function efficiently, the allocation of ...
Marsintauli Frihardina, Pribadi Aruni
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Online learning in online auctions
Theoretical Computer Science, 2004 We consider the problem of revenue maximization in online auctions, that is, auctions in which bids are received and dealt with one-by-one. In this note, we demonstrate that results from online learning can be usefully applied in this context, and we derive a new auction for digital goods that achieves a constant competitive ratio with respect to the ...
Avrim Blum +3 more
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Online Apprenticeship Learning
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 In Apprenticeship Learning (AL), we are given a Markov Decision Process (MDP) without access to the cost function. Instead, we observe trajectories sampled by an expert that acts according to some policy. The goal is to find a policy that matches the expert's performance on some predefined set of cost functions.
Lior Shani, Tom Zahavy, Shie Mannor
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CoRR, 2023 We initiate a study of computable online (c-online) learning, which we analyze under varying requirements for "optimality" in terms of the mistake bound. Our main contribution is to give a necessary and sufficient condition for optimal c-online learning and show that the Littlestone dimension no longer characterizes the optimal mistake bound of c ...
Niki Hasrati, Shai Ben-David
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Online learning with ensembles [PDF]
Physical Review E, 2000 Supervised online learning with an ensemble of students randomized by the choice of initial conditions is analyzed. For the case of the perceptron learning rule, asymptotically the same improvement in the generalization error of the ensemble compared to the performance of a single student is found as in Gibbs learning. For more optimized learning rules,
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ONLINE LEARNING – BETWEEN NECESSITY AND OPTION
Journal of Education, Society & Multiculturalism, 2021 The analysis of the educational policy in relation to online education takes into account major decisions that have a direct impact on all those involved in taking these decisions and, of course, on how they become functional.
ONLINE LEARNING – BETWEEN NECESSITY AND OPTION
doaj
Sustainability Green Raw Material Inventory with Continuous Replenishment Method: A Case Study Housing Construction Company [PDF]
E3S Web of Conferences, 2023 The company is engaged in housing construction. Every year their production increase using green materials, from 2018 to 2021. This growth emerges problems such as overstock and dead stock.
Wijaya Dendhy Indra +2 more
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