Top 10 algorithms in data mining
This paper presents the top 10 data mining algorithms identified by the IEEE International
Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, …
Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, …
[HTML][HTML] Cybersecurity data science: an overview from machine learning perspective
In a computing context, cybersecurity is undergoing massive shifts in technology and its
operations in recent days, and data science is driving the change. Extracting security incident …
operations in recent days, and data science is driving the change. Extracting security incident …
[HTML][HTML] Spinal cord injury: pathophysiology, multimolecular interactions, and underlying recovery mechanisms
…, MD Yazid, M Fauzi Daud, J Idris, AMH Ng… - International journal of …, 2020 - mdpi.com
Spinal cord injury (SCI) is a destructive neurological and pathological state that causes
major motor, sensory and autonomic dysfunctions. Its pathophysiology comprises acute and …
major motor, sensory and autonomic dysfunctions. Its pathophysiology comprises acute and …
[HTML][HTML] Deep speech 2: End-to-end speech recognition in english and mandarin
We show that an end-to-end deep learning approach can be used to recognize either English
or Mandarin Chinese speech–two vastly different languages. Because it replaces entire …
or Mandarin Chinese speech–two vastly different languages. Because it replaces entire …
Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: an observational cohort …
Background Coronavirus disease 2019 (COVID-19) causes severe community and nosocomial
outbreaks. Comprehensive data for serial respiratory viral load and serum antibody …
outbreaks. Comprehensive data for serial respiratory viral load and serum antibody …
An analysis of single-layer networks in unsupervised feature learning
A great deal of research has focused on algorithms for learning features from unlabeled data.
Indeed, much progress has been made on benchmark datasets like NORB and CIFAR-10 …
Indeed, much progress has been made on benchmark datasets like NORB and CIFAR-10 …
[HTML][HTML] Triple combination of interferon beta-1b, lopinavir–ritonavir, and ribavirin in the treatment of patients admitted to hospital with COVID-19: an open-label …
…, EYK Tso, R Liu, TWH Chung, MY Chu, YY Ng… - The Lancet, 2020 - thelancet.com
Background Effective antiviral therapy is important for tackling the coronavirus disease 2019
(COVID-19) pandemic. We assessed the efficacy and safety of combined interferon beta-1b, …
(COVID-19) pandemic. We assessed the efficacy and safety of combined interferon beta-1b, …
[PDF][PDF] Rectifier nonlinearities improve neural network acoustic models
Deep neural network acoustic models produce substantial gains in large vocabulary
continuous speech recognition systems. Emerging work with rectified linear (ReL) hidden units …
continuous speech recognition systems. Emerging work with rectified linear (ReL) hidden units …
[PDF][PDF] ROS: an open-source Robot Operating System
This paper gives an overview of ROS, an opensource robot operating system. ROS is not an
operating system in the traditional sense of process management and scheduling; rather, it …
operating system in the traditional sense of process management and scheduling; rather, it …
On spectral clustering: Analysis and an algorithm
Despite many empirical successes of spectral clustering methods (cid: 173) algorithms that
cluster points using eigenvectors of matrices de (cid: 173) rived from the data-there are …
cluster points using eigenvectors of matrices de (cid: 173) rived from the data-there are …