temporal models
[ˈtɛmpərəl ˈmɑdəlz]
nounpl: temporal models
modelos temporais
1. Mathematical or computational frameworks used to represent, analyze, and predict phenomena that change over time, incorporating temporal sequences and dynamics
Temporal models help scientists understand how climate patterns evolve throughout the year.
Modelos temporais ajudam cientistas a entender como os padrões climáticos evoluem ao longo do ano.
2. In machine learning and artificial intelligence, algorithms designed to process sequential data and capture time-dependent relationships
LSTM networks are popular temporal models for natural language processing tasks.
Redes LSTM são modelos temporais populares para tarefas de processamento de linguagem natural.
3. Frameworks used in linguistics and cognitive science to represent how humans process and understand time-related information
Temporal models in psycholinguistics explain how people comprehend verb tenses.
Modelos temporais em psicolinguística explicam como as pessoas compreendem tempos verbais.
Temporal models are a cornerstone concept in modern data science, machine learning, and artificial intelligence, used extensively in both Brazilian and American academic and corporate research environments. The term is particularly prevalent in tech hubs like São Paulo and Silicon Valley, reflecting the global nature of computational research.
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