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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Matheus Henrique Junqueira Saldanha in research grants and scholarships supported by FAPESP.
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Machine learning has confirmed its usefulness to various problems, from batch driven applications to time series forecasting (e.g., stock prices, weather, energy consumption, behavior of bacteria, etc). Amid a plethora of existing empirical results regarding time series, this project intends to provide theoretical evidences that the Statistical Learning Theory (SLT) is sufficient to ensur…
Machine Learning (ML) has gathered a lot of interest from industry and academia as it increases the range of tasks that can be performed by computers: speech recognition, sentiment analysis, cancer detection, and much more. Neural Networks (NN) are a particular branch of ML that has achieved great popularity after winning recent well known image recognition contests; however, they can tak…
Due to the abundance and importance of proteins, a greater knowledge about these molecules is known to be of great interest to science. However, laboratory experiments for studying them are expensive and lengthy, which led to the arising of studies on computational methods for predicting the behavior of proteins, which includes its tridimensional structure (3D). The problem of determining…
| 3 / 3 | Completed scholarships in Brazil |
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