Essays about: "permutation"
Showing result 11 - 15 of 52 essays containing the word permutation.
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11. Predicting Customer Churn in E-commerce Using Statistical Modeling and Feature Importance Analysis : A Comparison of Random Forest and Logistic Regression Approaches
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : While operating in online markets offers opportunities for expanded assortment and convenience, it also poses challenges such as increased competition and the need to build personal relationships with customers. Customer retention be- comes crucial in maintaining a successful business, emphasizing the importance of understanding customer behavior. READ MORE
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12. EVALUATION OF CLUSTER STABILITY WITH PERMUTATION SUBGROUPS
University essay from Uppsala universitet/Statistiska institutionenAbstract : This paper suggests a new methodology; using permutation subgroups to evaluate the stability of clusters. This could be any subgroup and the clustering solution can come from any clustering technique. Mainly, this paper shows how the proposed methodology can be performed through an example of using the rotational cyclic group. READ MORE
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13. Performance-Aware Code Size Optimization of Generic Functions through Automatic Implementation of Dynamic Dispatch
University essay from Linköpings universitet/Programvara och systemAbstract : Monomorphization and dynamic dispatch are two common techniques for implementing polymorphism in statically typed programming languages. Function templates in C++ use the former technique to enable algorithms written as generic functions to be efficiently reused with multiple different data types by producing a separate function instantiation for each invocation that uses a unique permutation of argument types. READ MORE
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14. Estimation of dissolved organic carbon from inland waters using remote sensing data and machine learning
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : This thesis presents the first attempt to estimate Dissolved Organic Carbon (DOC) in inland waters over a large-scale area using satellite data and machine learning (ML) methods. Four ML approaches, namely Random Forest Regression (RFR), Support Vector Regression (SVR), Gaussian Process Regression (GPR), and a Multilayer Backpropagation Neural Network (MBPNN) were tested to retrieve DOC using a filtered version of the recently published open source AquaSat dataset with more than 16 thousand samples across the continental US matched with satellite data from Landsat 5, 7 and 8 missions. READ MORE
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15. Forecasting Efficiency in Cryptocurrency Markets : A machine learning case study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Financial time-series are not uncommon to research in an academic context. This is possibly not only due to its challenging nature with high levels of noise and non-stationary data, but because of the endless possibilities of features and problem formulations it creates. READ MORE
