This study presents a valuable contribution by introducing a model-based, Bayesian method for inferring action potentials from calcium imaging data that directly quantifies uncertainty in spike timing ...
Abstract: Microseismic data reconstruction is a procedure to compensate for acquisition deficiencies and to improve the data quality, which is important for subsequent processing steps such as event ...
Blood test informatics is a field that combines data science, medical informatics, and research to improve management, treatment, and understanding of diseases. This field uses health data, wearable ...
This plugin provides an interface between D-Wave's quantum computers and the PyTorch framework, including neural network modules for building and training Boltzmann Machines along with various sampler ...
The use of statistics is ubiquitous in astronomy and astrophysics. Modern advances are made possible by the application of increasingly sophisticated tools, often dubbed "data mining", "machine ...
Abstract: Human infants can discover words directly from unsegmented speech signals without any explicitly labeled data. Current machine learning methods cannot efficiently estimate language model (LM ...
Sugarcane smut and Pachymetra root rots are two serious diseases of sugarcane, with susceptible infected crops losing over 30% of yield. A heritable component to both diseases has been demonstrated, ...
Department of Chemistry, Department of Physics and Astronomy, and Purdue Quantum Science and Engineering Institute, Purdue University, West Lafayette, Indiana 47907, United States Article Views are ...
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