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on 12-Oct-2025 (Sun)

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Flashcard 7762835016972

Tags
#feature-engineering #lstm #recurrent-neural-networks #rnn
Question
Models with [...] capacity would underfit the training set and hence have a high bias
Answer
low

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Models with low capacity would underfit the training set and hence have a high bias

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#abm #agent-based #machine-learning #model #priority #synergistic-integration
As demonstrated by Torrens et al. [9], the individual behavior in an agent-based model can be machine-learned from samples collected at the individual-agent level. In addition, modern ABM techniques can help in analysis through their ability to have adaptive agents in different changing environments [10]. The machine- learning-based inference model can thus provide an alterna- tive to coarse models of agents and can extend traditional agent-based transition schemes that hardcode agents’ behavior rules into a model—apriori
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es for behaviors at the scale of individual agents. This gives them little choice but to employ abstract proxy representation of agent behavior, which is not suitable for quantitative analysis. <span>As demonstrated by Torrens et al. [9], the individual behavior in an agent-based model can be machine-learned from samples collected at the individual-agent level. In addition, modern ABM techniques can help in analysis through their ability to have adaptive agents in different changing environments [10]. The machine- learning-based inference model can thus provide an alterna- tive to coarse models of agents and can extend traditional agent-based transition schemes that hardcode agents’ behavior rules into a model—apriori[9]. Accordingly, integrating ABM and ML in decision-making can combine the inductive and deductive reasoning approaches, enabling us to describe the way that decisions can be made or im

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