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Paulo Research Foundation, exhibits a strong interdisciplinary character, with activities involving remote sensing, artificial intelligence, and the use of sensors for real-time irrigation monitoring and
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-means, k-medoids, hierarchical); Reinforcement learning; Statistical learning theory (e.g., PAC, Rademacher, VC dimension); Graphical models (e.g., Bayesian networks, Markov chains, conditional random
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