Essays about: "adaptive memory"

Showing result 11 - 15 of 43 essays containing the words adaptive memory.

  1. 11. ARMAS: Active Reconstruction of Missing Audio Segments

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Sachin Pokharel; Muhammad Ali; [2021]
    Keywords : Audio Reconstruction; Audio Inpainting; Deep Learning; Machine Learning; Audio Steganography;

    Abstract : Background: Audio signal reconstruction using machine/deep learning algorithms has been explored much more in the recent years, and it has many applications in digital signal processing. There are many research works on audio reconstruction with linear interpolation, phase coding, tone insertion techniques combined with AI models. READ MORE

  3. 12. Rebalancing 2.0-A Macro Approach to Portfolio Rebalancing

    University essay from KTH/Matematisk statistik

    Author : Rawand Sultani; [2020]
    Keywords : Statistics; Applied Mathematics; Financial Mathematics; Rebalancing; Asset Allocation; Monte-Carlo; Backtesting; Makro; Statistik; Tillämpad matematik; Finansiell matematik; Rebalansering; Tillgångsallokering; Monte-Carlo; Backtesting; Makro;

    Abstract : Portfolio rebalancing has become a popular tool for institutional investors the last decade. Adaptive asset allocation, an approach suggest by William Sharpe is a new approach to portfolio rebalancing taking market capitalization of asset classes into consideration when setting the normal portfolio and adapting it to a risk profile. READ MORE

  4. 13. Adaptive Feature based Level of Detail for Memory Restrained Interactive Direct Volume Rendering

    University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska högskolan

    Author : Nils Andersson; Martin Marklund; [2020]
    Keywords : Level of detail; volumetric data; memory restrictions;

    Abstract : The purpose of this thesis was to find and implement an adaptive method, based on given data and hardware, for selecting different level-of-detail whilst preserving visual quality to the best extent possible. Another important aspect of the new method was that it had to be performance effective, since the target platform was an interactive direct volume rendering application. READ MORE

  5. 14. Dynamic Student Embeddings for a Stable Time Dimension in Knowledge Tracing

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

    Author : Clara Tump; [2020]
    Keywords : Knowledge Tracing; Exercise Recommendation; Adaptive Learning; Machine Learning; Word Embeddings; Dynamic Embeddings; Recurrent Neural Networks; Long Short-Term Memory Neural Networks; Kunskapsspårning; Uppgiftsrekommendation; Adaptivt Lärande; Maskininlärning; Ordvektorer; Dynamiska Studentvektorer; Recurrent Neural Networks; Long ShortTerm Memory Neural Networks;

    Abstract : Knowledge tracing is concerned with tracking a student’s knowledge as she/he engages with exercises in an (online) learning platform. A commonly used state-of-theart knowledge tracing model is Deep Knowledge Tracing (DKT) which models the time dimension as a sequence of completed exercises per student by using a Long Short-Term Memory Neural Network (LSTM). READ MORE

  6. 15. Self-adaptive random walk with pesudo-gradients for genetic evolution of an artificial neural network

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Robin Emanuelsson; [2020]
    Keywords : Physics and Astronomy;

    Abstract : To optimize the weights in an artificial neural network most methods rely gradients, which are not always obtainable or desirable. Evolutionary algorithms are instead based on Darwinian evolution where no derivative is needed. READ MORE