Essays about: "dimensionality reduction"

Showing result 31 - 35 of 96 essays containing the words dimensionality reduction.

  1. 31. Learning representations of features of fish for performing regression tasks

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

    Author : Kristmundur Jónsson; [2021]
    Keywords : Representation learning; Deep Learning; regression; auto encoder; Variational auto encoder; Representationsinlärning; Djupinlärning; Regression; autoencoder; Variational autoencoder;

    Abstract : In the ever-changing landscape of the fishing industry, demands for automating specific processes are increasing substantially. Predicting future events eliminates much of the existing communication latency between fishing vessels and their customers and makes real-time analysis of onboard catch possible for the fishing industry. READ MORE

  3. 32. Data analysis for Systematic Literature Reviews

    University essay from Linnéuniversitetet/Institutionen för informatik (IK)

    Author : Roger Chao; [2021]
    Keywords : data analysis; systematic literature reviews; clustering; dimensionality reduction; self-adaptive systems; multi-dimensional data;

    Abstract : Systematic Literature Reviews (SLR) are a powerful research tool to identify and select literature to answer a certain question. However, an approach to extract inherent analytical data in Systematic Literature Reviews’ multi-dimensional datasets was lacking. READ MORE

  4. 33. A scalable species-based genetic algorithm for reinforcement learning

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

    Author : Anirudh Seth; [2021]
    Keywords : neuroevolution; model encoding; distributed speciation; reinforcement learning; genetic algorithms; evolutionary computing; neuroevolution; model encoding; förstärkningsinlärning; genetiska algoritmer; evolutionär databehandling;

    Abstract : Existing methods in Reinforcement Learning (RL) that rely on gradient estimates suffer from the slow rate of convergence, poor sample efficiency, and computationally expensive training, especially when dealing with complex real-world problems with a sizable dimensionality of the state and action space. In this work, we attempt to leverage the benefits of evolutionary computation as a competitive, scalable, and gradient-free alternative to training deep neural networks for RL-specific problems. READ MORE

  5. 34. Classify part of day and snow on the load of timber stacks : A comparative study between partitional clustering and competitive learning

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : My Nordqvist; [2021]
    Keywords : Machine Learning ML ; Unsupervised Learning; Cluster Analysis; Partitional Clustering; Competitive Learning; Dimensionality Reduction; Principal Component Analysis PCA ; K-means; Kohonen Self-Organizing Map SOM ; Timber;

    Abstract : In today's society, companies are trying to find ways to utilize all the data they have, which considers valuable information and insights to make better decisions. This includes data used to keeping track of timber that flows between forest and industry. READ MORE

  6. 35. Daily pattern recognition of dynamic origin-destination matrices using clustering and kernel principal component analysis

    University essay from KTH/Transportplanering

    Author : Zhiwu Dong; [2021]
    Keywords : origin-destination; pattern recognition; principal component analysis; kernel principal component analysis; k-means cluster; ursprung-destination; mönsterigenkänning; huvudkomponentanalys; analys av kärnhuvudkomponent; k-medelkluster;

    Abstract : Origin-Destination (OD) matrix plays an important role in traffic management and urban planning. However, the OD estimation demands large data collection which has been done in past mostly by surveys with numerous limitations. READ MORE