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Probabilistic modeling
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This study aims to examine the interaction effect of eWOM on online purchase intention and brand trust toward purchase intention at the Uniqlo fashion online store. The role of the mediation of satisfaction is vestigated. A quantitative approach was utilized to gather data via online surveys to bolster the suggested model. A total of 186 participants were included in the sample, chosen through non-probabilistic convenience sampling methods, and provided with instructions to answer the survey questions.
13p
leminhvu111
07-06-2024
0
0
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Ebook "Polycyclic aromatic hydrocarbons: Their global atmospheric emissions, transport, and lung cancer risk" presents a comprehensive analysis of the global health impacts of polycyclic aromatic hydrocarbons (PAHs) in ambient air, conducted on the basis of a high-resolution emission inventory, global chemical transport modeling, and probabilistic risk assessment. One of the main strengths of the thesis is the concentration downscaling process, which provides a linkage between emissions and exposure concentrations at a comparatively high resolution.
187p
giangdongdinh
28-05-2024
3
2
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This paper presents a probabilistic model for the investigation of nanometric surface effect in particulate nanocomposite materials. Moreover, the size-dependency at the nanometric scale, which is commonly ignored in classical micromechanics frameworks, is considered in this work from a probabilistic standpoint. To this aim, an imperfect interface model was presented to describe the difference in mechanical properties at the zone between the reinforcement and the matrix.
11p
dathienlang1012
03-05-2024
1
0
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Probability and Computer science - Lecture 5: More applications with probabilistic analysis, bins and balls. This lecture provides students with content including: review coupon collector’s problem and packet sampling; analysis of quick-sort; birthday paradox and applications; the bins and balls model;... Please refer to the detailed content of the lecture!
30p
codabach1016
03-05-2024
3
0
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Drawing genotype-to-phenotype maps in tumors is of paramount importance for understanding tumor heterogeneity. Assignment of single cells to their tumor clones of origin can be approached by matching the genotypes of the clones to the mutations found in RNA sequencing of the cells.
16p
vibransone
28-03-2024
2
1
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Mutational signatures are key to understanding the processes that shape cancer genomes, yet their analysis requires relatively rich whole-genome or whole-exome mutation data. Recently, orders-of-magnitude sparser gene-panelsequencing data have become increasingly available in the clinic.
12p
vibransone
28-03-2024
4
2
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In this study, a logistic regression model is developed to forecast tropical storm (TS) genesis in the Vietnam East Sea from 2012 to 2019. The model incorporates seven potential predictors including dynamic and thermodynamic parameters at formation time retrieved from the WRF-LETKF outputs.
12p
viellison
28-03-2024
3
1
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Part 2 book "Artificial intelligence - A modern approach" includes content: Probabilistic reasoning over time; making simple decisions; making complex decisions; learning from examples; knowledge in learning; learning probabilistic models; reinforcement learning; natural language processing; natural language for communication; perception; robotics,... and other contents.
567p
muasambanhan05
16-01-2024
4
0
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Ebook "Modern control theory" includes content: General characteristic of control systems, formal models of control systems, control for the given state, optimal control with complete information on the plant, parametric optimization, application of relational description of uncertainty, application of probabilistic descriptions of uncertainty, uncertain variables and their applications,... and other contents.
421p
haojiubujain07
20-09-2023
7
4
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Ebook "Service oriented and cloud computing" includes content: Aservice delivery framework to support opportunistic collaborations, probabilistic topic models for web services clustering and discovery, managing imprecise criteria in cloud service ranking with a fuzzy multi criteria decision making method, modeling quality attributes of cloud standby systems - a long term cost and availability model,... and other contents.
253p
haojiubujain07
20-09-2023
5
3
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Ebook "Utility based learning from data" includes content: Introduction, mathematical preliminaries, the horse race, the horse race and utility, select methods for measuring model performance, a utility based approach to information theory, utility based model performance measurement, select methods for estimating probabilistic models, a utility based approach to probability estimation, extensions,.... and other contents.
412p
haojiubujain07
20-09-2023
5
3
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Continued part 1, part 2 of ebook "Wavelet analysis in civil engineering" provides readers with contents including: wavelet-based nonstationary vibration analysis of a simple nonlinear system; wavelet-based probabilistic analysis; general applications;...
92p
thamnhuocgiai
24-09-2023
6
4
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Part 1 of ebook "Bayesian methods for structural dynamics and civil engineering" provides readers with contents including: thomas bayes and bayesian methods in engineering; basic concepts and bayesian probabilistic framework; bayesian spectral density approach; optimal sensor placement; bayesian model updating with input–output measurements;...
178p
hanlinhchi
28-08-2023
4
3
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Continued part 1, part 2 of ebook "Computing handbook: Computer science and software engineering" provides readers with contents including: natural language processing; understanding spoken language; neural networks; cognitive modeling; graphical models for probabilistic and causal reasoning; network organization and topologies; routing protocols; access control; data compression; localization in underwater acoustic sensor networks; semantic web; thread management for shared-memory multiprocessors;...
1154p
hanlinhchi
29-08-2023
6
4
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In this paper, we develop a hybrid model that combines scenario analysis technique and cumulant based PPF approach. It can take into account various sources of uncertainty in the power system and their correlations. The proposed approach is performed on IEEE-118 bus test system, indicating good performance in comparison with Monte Carlo approach.
6p
viwhitewolf
11-07-2023
8
4
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Build probabilistic topic model representations of hospital admissions processes and compare the ability of such models to predict clinical order patterns as compared to preconstructed order sets.
9p
visteverogers
24-06-2023
6
2
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Standard approaches for large scale phenotypic screens using electronic health record (EHR) data apply thresholds, such as 2 diagnosis codes, to define subjects as having a phenotype. However, the variation in the accuracy of diagnosis codes can impair the power of such screens.
7p
visteverogers
24-06-2023
6
2
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In this article, deep learning probabilistic models are applied to a case study on evaluating the influence of specialized mini projects (SMPs) on the performance of engineering students on their final year project (FYP) and cumulative grade point average (CGPA).
6p
vimalfoy
08-02-2023
5
2
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One of the first steps in developing a risk assessment model is an exhaustive search for initiating events, which is a systematic and comprehensive starting point to answer the question “what can go wrong?” for a given system design.
14p
vironald
15-12-2022
11
5
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Lecture Introduction to Machine learning and Data mining: Lesson 9.2. This lesson provides students with content about: probabilistic modeling; expectation maximization; intractable inference; the Baum-Welch algorithm;... Please refer to the detailed content of the lecture!
20p
hanlamcoman
26-11-2022
10
5
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