Essays about: "error matrix"

Showing result 31 - 35 of 84 essays containing the words error matrix.

  1. 31. Comparing the precision in matrix multiplication between Posits and IEEE 754 floating-points : Assessing precision improvement with emerging floating-point formats

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

    Author : Simone De Blasio; Fredrik Ekstedt Karpers; [2020]
    Keywords : ;

    Abstract : IEEE 754 floating-points are the current standard way to represent real values in computers, but there are alternative formats emerging. One of these emerging formats are Posits. READ MORE

  3. 32. Music Recommendations; Approximating user distributions to address the cold start problem

    University essay from Lunds universitet/Statistiska institutionen

    Author : Johan Hammarstedt; [2020]
    Keywords : Music recommendation Content based filtering Collaborative filtering Matrix factorization user-feature distribution; Technology and Engineering;

    Abstract : In today's data driven society the world is at a point of information overload. As people rely on Google for information and other platforms such as Netflix and Spotify for entertainment, the need for relevant filtering of content has never been higher. As a result, recommendation systems have seen a great surge in demand. READ MORE

  4. 33. Comparing the Accuracy Between IEEE 754 and Posit Using Matrix Multiplication

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

    Author : Tony Le; Pontus Karlberg; [2020]
    Keywords : ;

    Abstract : The aim of this study was to compare the accuracy of the 32-bit IEEE 754 floating point numbers and 32-bit Posit numbers. In order to achieve this goal, two benchmarks were developed in C++. READ MORE

  5. 34. Implementation of a Block Krylov Algorithm in Variational Data Assimilation

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Clémentine Gas; [2019]
    Keywords : ;

    Abstract : Numerical weather prediction relies on two major components: sophisticated atmospheric forecast models and equally important data assimilation algorithms. Data assimilation (DA) is the process used to produce the best estimate of the state of a model, using an Earth system numerical model and observations. READ MORE

  6. 35. Application of machine learning in 5G to extract prior knowledge of the underlying structure in the interference channel matrices

    University essay from KTH/Matematisk statistik

    Author : Danilo Peng; [2019]
    Keywords : Machine learning; 5G; interference channel; blind source estimation; MIMO; OFDM; bandwidth prediction; support vector machines; artificial neural network.; Maskininlärning; 5G; interferencekanal; stödvektormaskin; neurala nätverk; brandbedd estimering;

    Abstract : The data traffic has been growing drastic over the past few years due to digitization and new technologies that are introduced to the market, such as autonomous cars. In order to meet this demand, the MIMO-OFDM system is used in the fifth generation wireless network, 5G. READ MORE