1,339 research outputs found
Hybrid Method Based on NARX models and Machine Learning for Pattern Recognition
This work presents a novel technique that integrates the methodologies of
machine learning and system identification to solve multiclass problems. Such
an approach allows to extract and select sets of representative features with
reduced dimensionality, as well as predicts categorical outputs. The efficiency
of the method was tested by running case studies investigated in machine
learning, obtaining better absolute results when compared with classical
classification algorithms.Comment: In English. SBAI 2021 - Brazilian Symposium on Intelligent Automation
(SBAI - Simposio Brasileiro de Automacao Inteligente). 6 pages. 4 figure
Gene expression networks and cis-elements combinatorial models in soybean: circadian clock and drought responses.
Rendimento de grãos de cultivares de soja convencional e transgênica em resposta à disponibilidade hídrica.
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