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  1. Pharrell, Elton John, Lainey Wilson Land on Oscars’ Best Original Song Shortlist

    by , 12-20-2024 at 06:03 AM


    Songs by Pharrell, Elton John, and Lainey Wilson, as well as multiple selections from Emelia Pérez, have made the Oscars’ shortlist for Best Original Song.

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  2. Neural Networks Made Easy (Part 91): Frequency Domain Forecasting (FreDF)

    by , 12-18-2024 at 09:18 AM
    Forecasting time series of future prices is critical in various financial market scenarios. Most of the methods that currently exist are based on certain autocorrelation in the data. In other words, we exploit the presence of correlation between time steps that exists both in the input data and in the predicted values.
    Among the models gaining popularity are those based on the Transformer architecture that use Self-Attention mechanisms for dynamic autocorrelation estimation. Also, we
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  3. Trading with the MQL5 Economic Calendar (Part 5): Enhancing the Dashboard with Responsive Controls and Filter Buttons

    by , 12-18-2024 at 06:51 AM
    In this article, we build upon the previous work in Part 4 of the MetaQuotes Language 5 (MQL5) series where we added real-time updates to the MQL5 Economic Calendar dashboard. Here, our focus is on making the dashboard more interactive by adding buttons that allow us to directly control the currency pair filters, importance levels, and time range filters, all from the panel itself—without needing to change the settings in the code. We will also include a "Cancel" button that clears the selected
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  4. Neural Networks Made Easy (Part 81): Context-Guided Motion Analysis (CCMR)

    by , 12-15-2024 at 10:52 AM
    A particularly interesting method entitled CCMR was presented in the paper "CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning". It is an approach to optical flow estimation that combines the advantages of attention-oriented methods of motion aggregation concepts and high-resolution multi-scale approaches. The CCMR method consistently integrates context-based motion grouping concepts into a high-resolution coarse-grained estimation framework. This
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  5. MQL5 Wizard Techniques you should know (Part 30): Spotlight on Batch-Normalization in Machine Learning

    by , 12-12-2024 at 02:16 PM
    This article, like all in this series, highlights the use of wizard assembled Expert Advisors in testing out new ideas. Introductions on how this is done can be got from here and here for new readers, with those 2 articles providing some guidance on how to use the code attached at the end of this article. For this piece, we are using quite a few custom enumerations of data as optimizable inputs. The MQL5 inbuilt enumerations can be declared in the custom signal file’s header, and they will
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