Search ResultsElektronik Kaynaklar 
by
Choi, Chiyoung, author.
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Alıntı:
Predicting Customer Complaints in Mobile Telecom Industry Using Machine Learning Algorithms / Choi
by
Stolze, David, author.
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Classification Algorithms / Stolze, David, author.
by
Etu, Egbe-Etu Emmanuel, author.
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The Impact of Machine Learning Algorithms on Benchmarking Process in Healthcare Service Delivery /
by
Cay, Sertalp B., author. (orcid)0000-0002-3409-3271
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-Cut Algorithms / Cay, Sertalp B., author. (orcid)0000-0002-3409-3271
by
Tan, Hui, author.
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algorithms is that the Monte Carlo sampling is adaptive to the algorithm trajectory, sampling little when the
by
Rathod, Harshwardhan Mahendra, author.
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, optimal algorithms, and heuristics to assign students to bus stops and generate routes for buses to cover
by
Yaba, Cem, author.
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designed, and a face tracking software using tracking algorithms was developed. The results showed that
by
Ehsani, Sina, author.
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algorithms. By comparing the performances of these algorithms, we showed that deploying voting techniques on
by
Zhang, Minjiao, author.
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parametric Gomory cuts, and demonstrate our algorithms by examples and prove the finite convergence of the
by
Guo, Ge, author. (orcid)0000-0001-8404-2256
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-convexity and stochastic factors. The scenario decomposition algorithms display computational advantage when
by
Zhang, Chaorui, author.
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to conventional metaheuristic algorithms, this chapter first proposes a novel data-driven approach
by
Zhang, Qi, author.
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to numerical algorithms for solving practical optimization problems with large size of datasets. One
by
Nuamah, Joseph Kwadwo Gyamfi, author.
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model beforehand. We explored nonlinear machine learning algorithms -- random forest, k
by
Patel, Vandan, author.
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compared to the classical algorithm's deblurred output images when both the step-size and the L1
by
Silva, Ana Eduarda de Sá, author.
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vision technologies and automatic detection algorithms contribute to an increase in process efficiency
by
Basdere, Mehmet, author.
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converging algorithms solving the weighted sum problem for multiobjective linear programs and multiobjective
by
Nathan, Alexandros, author.
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distributed) has not been studied extensively. We propose two doubly distributed optimization algorithms. The
by
He, Tian, author.
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-gantry optimization problem, four population based metaheuristic algorithms are developed based on special operators
by
McGibbon, Fraser J., author.
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Alıntı:
, this research also develops three separate scheduling algorithms for FFAS to en-route airspace transfer

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