Search alternatives:
training datasets » training dataset (Expand Search), training data (Expand Search)
larger decrease » marked decrease (Expand Search)
large decrease » marked decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
training datasets » training dataset (Expand Search), training data (Expand Search)
larger decrease » marked decrease (Expand Search)
large decrease » marked decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
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The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness.
Published 2025“…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …”
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The prediction result is displayed on the hotel dataset, which includes the training procedure when the loss function is decreased and the model saved with training rounds as a multiple of five.
Published 2025“…<p>The prediction result is displayed on the hotel dataset, which includes the training procedure when the loss function is decreased and the model saved with training rounds as a multiple of five.…”
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Supplementary file of datasets.
Published 2025“…This cross-sectional study investigated the backward-walking exercise on a) real-time muscle activation, and b) its immediate effect on back pain intensity, movement control and lumbopelvic muscle activation in individuals with chronic non-specific LBP characterized with lumbar flexion syndrome.…”
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Loss of ECRG4 expression decreases neutrophil mobilization from bone marrow reserves.
Published 2024Subjects: -
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Biases in larger populations.
Published 2025“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”
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