Essays about: "Semi- Övervakad Inlärning"

Showing result 16 - 19 of 19 essays containing the words Semi- Övervakad Inlärning.

  1. 16. Semi-supervised Learning for Real-world Object Recognition using Adversarial Autoencoders

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Sudhanshu Mittal; [2017]
    Keywords : Semi-supervised Learning; Object Recognition; Adversarial Training; Autoencoders;

    Abstract : For many real-world applications, labeled data can be costly to obtain. Semi-supervised learning methods make use of substantially available unlabeled data along with few labeled samples. Most of the latest work on semi-supervised learning for image classification show performance on standard machine learning datasets like MNIST, SVHN, etc. READ MORE

  3. 17. Semi-Supervised Learning with Sparse Autoencoders in Automatic Speech Recognition

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : AKASH KUMAR DHAKA; [2016]
    Keywords : machine learning; automatic speech recognition; semi supervised learning;

    Abstract : This work is aimed at exploring semi-supervised learning techniques to improve the performance of Automatic Speech Recognition systems. Semi-supervised learning takes advantage of unlabeled data in order to improve the quality of the representations extracted from the data. READ MORE

  4. 18. Separating Tweets from Croaks : Detecting Automated Twitter Accounts with Supervised Learning and Synthetically Constructed Training Data

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Erik Christopher Teljstedt; [2016]
    Keywords : bot detection; information operations; synthetically constructed training data; social media analysis; classification; learning systems; social networking online ; bot detection; classification performance; classification results; machine learning approaches; military conflicts; semi-automatic; automation;

    Abstract : In this thesis, we have studied the problem of detecting automated Twitter accounts related to the Ukraine conflict using supervised learning. A striking problem with the collected data set is that it was initially lacking a ground truth. READ MORE

  5. 19. Automatic Segmentation of Swedish Medical Words with Greek and Latin Morphemes : A Computational Morphological Analysis

    University essay from Stockholms universitet/Avdelningen för datorlingvistik

    Author : Mathias Lindström; [2015]
    Keywords : automatic word segmentation; Swedish medical word segmentation; morpheme segmentation; morphology induction; morphological analysis; unsupervised learning; natural language processing; automatisk ordsegmentering; svensk medicinsk ordsegmentering; morfemsegmentering; morfeminduktion; morfologisk analys; oövervakad inlärning; språkteknologi;

    Abstract : Raw text data online has increased the need for designing artificial systems capable of processing raw data efficiently and at a low cost in the field of natural language processing (NLP). A well-developed morphological analysis is an important cornerstone of NLP, in particular when word look-up is an important stage of processing. READ MORE