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on 12-Jan-2026 (Mon)

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Annotation 7629502549260

#causality #statistics
We have to ensure that there is no non-causal association flowing between ๐‘‹ and ๐‘Œ . This is true if ๐‘‹ and ๐‘Œ are d-separated in the augmented graph where we remove outgoing edges from ๐‘‹ .
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Flashcard 7786410413324

Tags
#recurrent-neural-networks #rnn
Question
With each vector read as input, the modelโ€™s training objective is to predict the target variable, which in this self- supervised training setup is just the input variable [...] by a single time step.
Answer
shifted

statusnot learnedmeasured difficulty37% [default]last interval [days]               
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With each vector read as input, the modelโ€™s training objective is to predict the target variable, which in this self- supervised training setup is just the input variable shifted by a single time step.

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Flashcard 7786583428364

Tags
#causality #statistics
Question
We have to ensure that there is no non-causal association flowing between ๐‘‹ and ๐‘Œ . This is true if ๐‘‹ and ๐‘Œ are [...] in the augmented graph where we remove outgoing edges from ๐‘‹ .
Answer
d-separated

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

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We have to ensure that there is no non-causal association flowing between ๐‘‹ and ๐‘Œ . This is true if ๐‘‹ and ๐‘Œ are d-separated in the augmented graph where we remove outgoing edges from ๐‘‹ .

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Annotation 7786586311948

#feature-engineering #lstm #recurrent-neural-networks #rnn
Representational capacity is the ability of the model to fit a wide range of functions. However, the effective capacity of a model might be lower than its representational capacity because of limitations and shortcomings, such as imperfect optimization or suboptimal hyperparameters (Goodfellow et al., 2016)
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Models with low capacity would underfit the training set and hence have a high bias. However , models with high capacity may overfit the training set and exhibit high variance. Representational capacity is the ability of the model to fit a wide range of functions. However, the effective capacity of a model might be lower than its representational capacity because of limitations and shortcomings, such as imperfect optimization or suboptimal hyperparameters (Goodfellow et al., 2016). To increase the match of the model's effective capacity and the complexity of the task at hand, the analyst needs to tune both the parameters and the hyperparameters of the model. </sp

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Annotation 7786588146956

untenable

adjective

formal uk /สŒnหˆtenษ™bl/ us

If an argument, action, or situation is untenable, it cannot be supported or defended from criticism.
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untenable adjective formal uk /สŒnหˆtenษ™bl/ us If an argument, action, or situation is untenable, it cannot be supported or defended from criticism. nie do obrony lub utrzymania an untenable position Examples: Following the scandal, the minister resigned saying that his position had become untenable The governmentโ€™s actions are unte