Essays about: "Minimizing Entropy"

Showing result 1 - 5 of 6 essays containing the words Minimizing Entropy.

  1. 1. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study

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

    Author : David Yu; [2023]
    Keywords : Natural language processing; Sentiment analysis; Clustering; Language model; Transformer; Heuristic; Språkteknologi; Sentimentanalys; Klustering; Språkmodell; Transformer; Heuristik;

    Abstract : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. READ MORE

  3. 2. Matched Reassignment of the Ultrasound Data of Breast Lesions

    University essay from Lunds universitet/Matematisk statistik

    Author : Robert Vujasic; [2022]
    Keywords : Mathematics and Statistics;

    Abstract : The goal of this thesis was to, from several randomly selected patients with diagnosed malignant and benign tumors, record optimal lambdas and respective Renyi entropies for each lambda, run a basic statistical analysis of the results and see if there is any significant difference between lambdas/Renyi entropies of malignant and benign lesions.\\ The results showed no significant difference. READ MORE

  4. 3. Summary Statistic Selection with Reinforcement Learning

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Iliam Barkino; [2019]
    Keywords : Summary Statistics; Approximate Bayesian Computation; Reinforcement Learning; Machine Learning; Multi-Armed Bandit; Subset Selection; Minimizing Entropy; Approximate Sufficiency; Direct; Halving; SAR; OCBA-m; Racing;

    Abstract : Multi-armed bandit (MAB) algorithms could be used to select a subset of the k most informative summary statistics, from a pool of m possible summary statistics, by reformulating the subset selection problem as a MAB problem. This is suggested by experiments that tested five MAB algorithms (Direct, Halving, SAR, OCBA-m, and Racing) on the reformulated problem and comparing the results to two established subset selection algorithms (Minimizing Entropy and Approximate Sufficiency). READ MORE

  5. 4. Optimization and personalization of a web service based on temporal information

    University essay from Umeå universitet/Institutionen för fysik

    Author : Jonatan Wallin; [2018]
    Keywords : Machine learning;

    Abstract : Development in information and communication technology has increased the attention of personalization in the 21st century and the benefits to both marketers and customers are claimed to be many. The need to efficiently deliver personalized content in different web applications has increased the interest in the field of machine learning. READ MORE

  6. 5. Data Fusion for Consumer Behaviour

    University essay from KTH/Matematisk statistik

    Author : Goran Dizdarevic; [2017]
    Keywords : ;

    Abstract : This thesis analyses different methods of data fusion by fitting a chosen number of statistical models to empirical consumer data and evaluating their performance in terms of a selection of performance measures. The main purpose of the models is to predict business related consumer variables. READ MORE