Sökning: "sekventiella"

Visar resultat 1 - 5 av 63 uppsatser innehållade ordet sekventiella.

  1. 1. Scalable Hyperparameter Opimization: Combining Asynchronous Bayesian Optimization With Efficient Budget Allocation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Kai Jeggle; [2020]
    Nyckelord :;

    Sammanfattning : Automated hyperparameter tuning has become an integral part in the optimization of machine learning (ML) pipelines. Sequential model based optimization algorithms, such as bayesian optimization (BO), have been proven to be sample efficient with strong final performance. LÄS MER

  3. 2. Particle-Based Online Bayesian Learning of Static Parameters with Application to Mixture Models

    Master-uppsats, KTH/Matematisk statistik

    Författare :Rutger Fuglesang; [2020]
    Nyckelord :Statistics; applied mathematics; sequential monte carlo; SMC; Statistical inference; Statisk; sekventiell monte carlo; SMC; tillämpad matematik;

    Sammanfattning : This thesis investigates the possibility of using Sequential Monte Carlo methods (SMC) to create an online algorithm to infer properties from a dataset, such as unknown model parameters. Statistical inference from data streams tends to be difficult, and this is particularly the case for parametric models, which will be the focus of this paper. LÄS MER

  4. 3. Ramverket Scrum vid mjukvaruutveckling i praktiken : En jämförelse av Scrum i praktik och teori

    Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/Avdelningen för datavetenskap och samhällsbyggnad

    Författare :Peshang Suleiman; [2020]
    Nyckelord :Mjukvaruutveckling; agil arbetsmetod; Scrum; Scrum i praktiken.;

    Sammanfattning : Det finns många olika teorier om hur man skall bedriva framgångsrik mjukvaruut- veckling. Metoderna har gått alltifrån mer sekventiella metoder till mer agila arbets- metoder. Misslyckanden inom projekt och brister i programvarorna var anledningen till att den agila arbetsmetoden definierades. LÄS MER

  5. 4. Particle Simulation using Asynchronous Compute : A Study of The Hardware

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Kim Enarsson; [2020]
    Nyckelord :Asynchronous Compute; Particle Simulation; Multi-Engine; DirectX; Async Compute; Asynchronous Compute; Partikel Simulering; Multi-Engine; DirectX; Async Compute;

    Sammanfattning : Background. With the introduction of the compute shader, followed by the application programming interface (API) DirectX 12, the modern GPU is now going through a transformation. Previously the GPU was used as a massive computational tool for running a single task at unparalleled speed. LÄS MER

  7. 5. Continual imitation learning: Enhancing safe data set aggregation with elastic weight consolidation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Andreas Elers; [2019]
    Nyckelord :Elasticweight consolidation; SafeDAGGER; DAGGER; Rehearsal buffer; Self-driving vehicle; Continual learning; Elastisk viktkonsolidering; SafeDAGGER; DAGGER; Repeteringsbuffert; Självkörande fordon; Stegvis inlärning;

    Sammanfattning : The field of machine learning currently draws massive attention due to ad- vancements and successful applications announced in the last few years. One of these applications is self-driving vehicles. A machine learning model can learn to drive through behavior cloning. Behavior cloning uses an expert’s behavioral traces as training data. LÄS MER