
Problems of prediction
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Customer Churn is now becoming a significant problem in the banking sector. It is necessary to seek solutions to predict the rate of customer churn in banks; however, the dataset for customer churn prediction in banks is imbalanced. In this paper, Random Forest (RF) based on two popular resampling techniques, named SMOTE and ADASYN, are used to obtain a banking customer churn prediction model.
6p
viyamanaka
06-02-2025
6
2
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Presentations Chapter 6: Some fundamental problems in the study of transfer present about problems of definition, problems of comparison, problems of prediction, problems of generalization. Invite you to consult the document details.
51p
mailan1977
29-12-2016
68
8
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The increasingly important role played by family firms in China’s fledging capital market calls for a better understanding of how it works and is governed. This study aims to explore how corporate governance issues in family firms are tackled from the perspective of investor protection. The thesis addresses the question by first presenting theoretical models showing the relations among investor protection, family governance, and agency costs in family firms.
229p
runthenight04
02-02-2023
13
4
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The thesis is devoted to constructing and evaluating versions of the SM extended with an A4 symmetry to explain some of the problems of neutrino physics. Within these extended models, the results on neutrino masses and mixing, derived by the perturbation method, are very closed to the global fit. In two models, a relation between the Dirac CPV phase and the mixing angles is established. In particular, the models predict Dirac CPV phase δCP and effective mass of neutrinoless double beta decay jhmeeij in good agreement with the current experimental data.
26p
capheviahe27
23-02-2021
22
4
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In this work, we have analyzed this problem for the example of N,N-dialkylamides in the presence of uranyl nitrate experimentally. Furthermore, we present a minimal model at nanoscale that allows rationalizing the experimental phenomena by connecting the molecular, mesoscopic and macroscopic scale and that allows predicting qualitative trends in viscosity.
18p
christabelhuynh
29-05-2020
15
3
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The aim of the dissertation is study and propose a new algorithm for solving the optimal problem in nonlinear model predictive control MIMO system.
28p
change01
05-05-2016
40
4
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In this paper we address the problem of extracting features relevant for predicting protein±protein interaction sites from the three-dimensional structures of protein complexes. Our approach is based on information about evolutionary con-servation and surface disposition. We implement a neural network based system, which uses a cross validation proce-dure and allows the correct detection of 73% of the residues involved in protein interactions in a selected database comprising 226 heterodimers.
6p
research12
29-04-2013
32
3
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Why do proteins adopt the conformations that they do, and what determines their stabilities? While we have come to some understandingof the forces that underlie protein architecture, a precise, predictive, physicochemical explanation is still elusive. Two obstacles to addressing these questions are the unfathomable vastness of protein sequence space, and the difficulty in makingdirect phy-sical measurements on large numbers of protein variants. Here, we review combinatorial methods that have been applied to problems in protein biophysics over the last 15 years.
14p
dell39
03-04-2013
62
3
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RNA–protein interactions are fundamental to gene expression. Thus, the molecular basis for the sequence dependence of protein–RNA recognition has been extensively studied experimentally. However, there have been very few computational studies of this problem, and no sustained attempt has been made towards using computational methods to predict or alter the sequence-specificity of these proteins.
14p
media19
05-03-2013
37
3
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Poly(ethylene glycol) (PEG) is a widely used polymer employed to increase the circulating half-life of proteins in blood and to decrease their immuno-genicity and antigenicity. PEG attaches to free amines, typically at lysine residues or at the N-terminal amino acid. This lack of selectivity can pres-ent problems when a PEGylated protein therapeutic is being developed, because predictability of activity and manufacturing reproducibility are needed for regulatory approval.
0p
viettel02
20-02-2013
34
2
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