Essays about: "Autoregressive Process"

Showing result 1 - 5 of 36 essays containing the words Autoregressive Process.

  1. 1. Online Sample Selection for Resource Constrained Networked Systems

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

    Author : Philip Sjösvärd; Samuel Miksits; [2022]
    Keywords : Online learning; Sample Selection; Real-time Learning; Random Forest; Reservoir Sampling; Relevance and Redundancy; Binned Distribution; Autoregressive Model; Change Detection; Model Re-computation;

    Abstract : As more devices with different service requirements become connected to networked systems, such as Internet of Things (IoT) devices, maintaining quality of service becomes increasingly difficult. Large data sets can be obtained ahead of time in networks to train prediction models offline, however, resulting in high computational costs. READ MORE

  3. 2. Spatial dependence in the regional innovation performance of small- and medium sized enterprises : A spatial econometric approach to identifying the drivers of SME innovation in European NUTS regions

    University essay from Jönköping University/IHH, Nationalekonomi

    Author : Felix Sebastian Veit Ginzinger; [2022]
    Keywords : Geography in Innovation; SME Innovation; Spatial Dependence; Regional Science;

    Abstract : Being a crucial sector in Europe’s economy, small and medium-sized enterprises (SMEs) require involvement in innovative activities to perpetuate their competitiveness. Nevertheless, European-wide funding programs that aim to foster innovation at the regional level have been criticized for not being adequately tailored to SMEs’ innovation patterns and dynamics. READ MORE

  4. 3. 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

  5. 4. Forecasting Efficiency in Cryptocurrency Markets : A machine learning case study

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

    Author : Erik Persson; [2022]
    Keywords : Cryptocurrencies; Financial time-series; Multi step-ahead forecasting; Machine Learning; Feature selection; Kryptovalutor; Finansiella tidsserier; Flerstegsprognoser; Maskininlärning; variabelselektion;

    Abstract : Financial time-series are not uncommon to research in an academic context. This is possibly not only due to its challenging nature with high levels of noise and non-stationary data, but because of the endless possibilities of features and problem formulations it creates. READ MORE

  6. 5. A Comparative Study of the KPSS and ADF Tests in terms of Size and Power

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Lina Sjösten; [2022]
    Keywords : Stationarity; unit root; time series; simulation; trend; ARIMA; parameter value; sample size;

    Abstract : This thesis investigates through simulation why tests of unit root and stationarity occasionally result in different conclusions. The thesis focusses on the KPSS test and the ADF test and both review cases with and without a trend. READ MORE