Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...
Biologists are quietly rewriting what it means to be alive, and the human body has become one of their strangest frontiers.
Abstract: Previous studies on the automatic classification of voice disorders have mostly investigated the binary classification task, which aims to distinguish pathological voice from healthy voice.
The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.
The International Classification of Diseases, or ICD, is a classification system for all physical and mental diseases produced by the World Health Organization (WHO). It’s used for diagnosis, research ...
Abstract: The classification problem concerning crisp-valued data has been well resolved. However, interval-valued data, where all of the observations’ features are described by intervals, are also a ...
In a world of rapid change and geopolitical turbulence, intelligence services are an important weapon in a policymaker’s arsenal. When it comes to human intelligence, the Central Intelligence Agency ...
Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique. A multi-class classification problem is one where the goal is ...
Twenty-six years ago, a bipartisan Senate commission chaired by late Senator Daniel Moynihan warned that excessive government secrecy and overclassification would have significant consequences for the ...