Essays about: "PCM rank"

Showing result 11 - 15 of 110 essays containing the words PCM rank.

  1. 11. Shoppin’ in the Rain : An Evaluation of the Usefulness of Weather-Based Features for an ML Ranking Model in the Setting of Children’s Clothing Online Retailing

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Isac Lorentz; [2023]
    Keywords : Statistical analysis; regression analysis; recommender systems; ensemble learning; electronic commerce; LightGBM; learning to rank; feature selection; weather-based features; fashion; Statistisk analys; regressionsanalys; rekommendationssystem; ensemble-inlärning; näthandel; LightGBM; learning to rank; variabelselektion; väderbaserade variabler; mode;

    Abstract : Online shopping offers numerous benefits, but large product catalogs make it difficult for shoppers to understand the existence and characteristics of every item for sale. To simplify the decision-making process, online retailers use ranking models to recommend products relevant to each individual user. READ MORE

  3. 12. Credit scoring using Logistic regression

    University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

    Author : Iftho Hara Khanam; [2023]
    Keywords : Kurtosis; Skewness; Winsorization; Logistic regression analysis; Maximum likelihood estimation; Newton–Raphson method; T–ratio test; P-value; LR test;

    Abstract : In this thesis, we present the use of logistic regression method to develop a credit scoring modelusing the raw data of 4447 customers of a bank. The data of customers is collected under 14independent explanatory variables and 1 default indicator. The objective of this thesis is toidentify optimal coefficients. READ MORE

  4. 13. Implementation and Evaluation of Software Architecture Visualization

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Naga Preethika Mule; [2023]
    Keywords : ;

    Abstract : Background: Software architectures are often large documents containing detailed information about different architectural components, how they interact, the environment in which they operate, and how the components are designed. With such a large amount of data, the sizes of the documents often get larger and it becomes challenging for humans to process in a reasonable time. READ MORE

  5. 14. Optimizing Search Engine Field Weights with Limited Data : Offline exploration of optimal field weight combinations through regression analysis

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Zino Kader; [2023]
    Keywords : Information retrieval; Search engines; BM25 Best Match 25 ; Regression analysis; Parameter estimation; Learning to rank; Informationsinhämtning; Sökmotorer; BM25 Best Match 25 ; Regressionsanalys; Parameterskattning; Maskininlärning för rangordning;

    Abstract : Modern search engines, particularly those utilizing the BM25 ranking algorithm, offer a multitude of tunable parameters designed to refine search results. Among these parameters, the weight of each searchable field plays a crucial role in enhancing search outcomes. READ MORE

  6. 15. Comparison of CNN and LSTM for classifying short musical samples

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Tore Nylén; Victor Stenmark; [2023]
    Keywords : ;

    Abstract : Applying machine learning to music and audio data is becoming increasingly common. One such area of research is instrument classification, which is the task of identifying the instrument played in a given audio file. In this study, we compared two machine learning model types, LSTM and CNN, on the task of classifying ten different instruments. READ MORE