Abstract: Time series prediction techniques have been used in many real-world applications such as financial market prediction, electric utility load forecasting , weather and environmental state ...

ABSTRACT: In machines learning problems, Support Vector Machine is a method of classification. For non-linearly separable data, kernel functions are a basic ingredient in the SVM technic. In this ...

Some machine learning models belong to either the “generative” or “discriminative” model categories. Yet what is the difference between these two categories of models? What does it mean for a model to ...

The Araripe Manakin (Antilophia bokermanni) is one of the rarest birds in the world, found only in a tiny forested valley in Brazil at the base of the Araripe Plateau. This critically endangered ...

With the growing importance of microbiome research, there is increasing evidence that host variation in microbial communities is associated with overall host health. Advancement in genetic sequencing ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following explicit ...

A transcription unit (TU) is composed of one or multiple adjacent genes on the same strand that are co-transcribed in mostly prokaryotes. Accurate identification of TUs is a crucial first step to ...

Note: This work is still in the testing phase. This is a tutorial on how to use Azure Machine Learning SDK for Python (AML SDK) to operationalize (Figure 1) pre-trained R models at scale in the cloud ...