As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression technique, where the goal is to predict a single numeric value. Compared to other ...
The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...
Abstract: Decision tree algorithms are one of the most popular methods in machine learning. However, most decision tree algorithms do not assume a stochastic model behind data. On the other hand, a ...
Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled ...
1 Laboratory of Computer Engineering, Data Science and Artificial Intelligence, National Higher Polytechnic School of Douala, Douala, Cameroon. 2 Mobile Computing and Networking Research Laboratory, ...
• This paper transforms the dynamic analysis of malicious behavior into a classification problem, inputs the extracted software feature codes into a recurrent neural network model for processing, and ...
Abstract: Due to the influence of the false alarm rate, it remains a challenging task to accurately detect potential intrusion behaviors in distributed optical fiber vibration sensing systems.
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