بدائل البحث:
learning context » learning contexts (توسيع البحث)
context decrease » content decreased (توسيع البحث), content increase (توسيع البحث), contract decreases (توسيع البحث)
marked decrease » marked increase (توسيع البحث)
learning context » learning contexts (توسيع البحث)
context decrease » content decreased (توسيع البحث), content increase (توسيع البحث), contract decreases (توسيع البحث)
marked decrease » marked increase (توسيع البحث)
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Convolutional vs RNN context encoder
منشور في 2025"…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …"
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Regions of significance for the simple block slopes on proportion of risky decisions as a function of past-month nonsuicidal self-injury (NSSI) and task.
منشور في 2024الموضوعات: "…simulated socioemotional contexts…"
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Demographic and self-injury history characteristics for the sample.
منشور في 2024الموضوعات: "…simulated socioemotional contexts…"
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Bivariate correlations and descriptive statistics for study variables.
منشور في 2024الموضوعات: "…simulated socioemotional contexts…"
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Simple block slopes on proportion of risky decisions based on task.
منشور في 2024الموضوعات: "…simulated socioemotional contexts…"
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Geometric manifold comparison visualization
منشور في 2025"…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …"
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Hyperparameter ranges
منشور في 2025"…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …"
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A novel RNN architecture to improve the precision of ship trajectory predictions
منشور في 2025"…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …"
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ERICC Policy Brief_ Supporting children’s mental health and wellbeing in and through education in contexts of conflict and protracted crises
منشور في 2025"…., 2013), potentially decreasing attendance and retention rates as well as learning quality and continuity. …"
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S1 Data -
منشور في 2025"…<div><p>Despite the wide use of zebra finches as an animal model to study vocal learning and production, little is known about impacts on their welfare caused by routine experimental manipulations such as changing their social context. …"