Essays about: "sequence to sequence learning"

Showing result 31 - 35 of 184 essays containing the words sequence to sequence learning.

  1. 31. Classification of sequence tags from tandem mass spectrometry spectra using machine learning models

    University essay from Lunds universitet/Examensarbeten i bioinformatik

    Author : Júlia Ortís Sunyer; [2022]
    Keywords : Biology and Life Sciences;

    Abstract : Motivation: Proteomics is the large-scale study of all the proteins found in a cell, tissue or organism. In the last few years, and thanks to the development of mass spectrometry and bioinformatics, proteomics has led the research in several fields, ranging from medicine to agriculture. READ MORE

  3. 32. Stock Price Prediction Using Machine Learning

    University essay from Södertörns högskola/Nationalekonomi

    Author : Yixin Guo; [2022]
    Keywords : Machine Learning; Stock Price; Time Series Data; Deep Learning;

    Abstract : Accurate prediction of stock prices plays an increasingly prominent role in the stock market where returns and risks fluctuate wildly, and both financial institutions and regulatory authorities have paid sufficient attention to it. As a method of asset allocation, stocks have always been favored by investors because of their high returns. READ MORE

  4. 33. Player Activity Sequence Analysis Using Process Mining : Player churn prediction and Abnormal player sequences detection using process mining on the data from a live game

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Varun Goud Maragoni; [2022]
    Keywords : Process mining; Sequence analysis; Churn prediction; Game analytics;

    Abstract : Background: Game analytics is a field that aims to analyze games and help in the enhancement of game development. Data mining is a prominent technique for game analytics. Recent advances in the field of process mining have motivated users to apply process mining to real-world scenarios in order to derive process-oriented insights. READ MORE

  5. 34. Data-driven Discovery of Real-time Road Compaction Parameters

    University essay from KTH/Matematisk statistik

    Author : Yuqi Shao; [2022]
    Keywords : statistics; machine learning; road compaction; statistik; maskininlärning; vägpackning;

    Abstract : Road compaction is the last and important stage in road construction. Both under-compaction and over-compaction are inappropriate and may lead to road failures. Intelligent compactors has enabled data gathering and edge computing functionalities, which introduces possibilities in data-driven compaction control. READ MORE

  6. 35. Fine-Tuning Pre-Trained Language Models for CEFR-Level and Keyword Conditioned Text Generation : A comparison between Google’s T5 and OpenAI’s GPT-2

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

    Author : Quintus Roos; [2022]
    Keywords : Transformed-based Pre-trained Language Models; Natural Language Processing; Natural Language Generation; Conditional Text Generation; Text Classification; Fine-tuning; English Language Learning.; Transformbaserade förtränade språkmodeller; naturlig språkbehandling; naturlig språkgenerering; betingad textgenerering; finjustering; instruktionsjustering; engelska inlärning.;

    Abstract : This thesis investigates the possibilities of conditionally generating English sentences based on keywords-framing content and different difficulty levels of vocabulary. It aims to contribute to the field of Conditional Text Generation (CTG), a type of Natural Language Generation (NLG), where the process of creating text is based on a set of conditions. READ MORE