Epidemiological data from the COVID-19 outbreak, real-time case information
Cases of a novel coronavirus were first reported in Wuhan, Hubei province, China, in
December 2019 and have since spread across the world. Epidemiological studies have …
December 2019 and have since spread across the world. Epidemiological studies have …
Machine learning and deep learning frameworks and libraries for large-scale data mining: a survey
The combined impact of new computing resources and techniques with an increasing
avalanche of large datasets, is transforming many research areas and may lead to …
avalanche of large datasets, is transforming many research areas and may lead to …
Feature selection in machine learning: A new perspective
J Cai, J Luo, S Wang, S Yang - Neurocomputing, 2018 - Elsevier
High-dimensional data analysis is a challenge for researchers and engineers in the fields of
machine learning and data mining. Feature selection provides an effective way to solve this …
machine learning and data mining. Feature selection provides an effective way to solve this …
Advances in pre-training distributed word representations
Many Natural Language Processing applications nowadays rely on pre-trained word
representations estimated from large text corpora such as news collections, Wikipedia and …
representations estimated from large text corpora such as news collections, Wikipedia and …
Hash layers for large sparse models
We investigate the training of sparse layers that use different parameters for different inputs
based on hashing in large Transformer models. Specifically, we modify the feedforward …
based on hashing in large Transformer models. Specifically, we modify the feedforward …