Recent progress in ML has been driven both by the development of new learning algorithms theory, and by the ongoing explosion in the availability of vast amount of data (often referred to as \"big data\") and low-cost computation. The adoption of ML-based approaches can be found through...
Privacy-Aware Anomaly Detection in IoT Environments using FedGroup: A Group-Based Federated Learning Approach The popularity of Internet of Things (IoT) devices in smart homes has raised significant concerns regarding data security and privacy. Traditional machine ... Y Zhang,B Suleiman,AF Farid -...
Huang S, Chen K, Liu C, Liang A, Guan H (2009) A statistical-feature-based approach to internet traffic classification using machine learning. In: 2009 International Conference on Ultra Modern Telecommunications & Workshops, pp 1–6, IEEE Shi H, Li H, Zhang D, Cheng C, Cao X (2018) ...
In this Section, we motivate and describe a machine learning based approach to identify standard software in (possibly large) IT-landscapes and integrate it into a larger picture. The identification of installed or running applications in large IT-landscapes is a major challenge, because many equal...
Nowadays, recognizing and predicting students learning achievement introduces a significant challenge, especially in blended learning environments, where online (web-based electronic interaction) and offline (direct face-to-face interaction in classrooms) learning are combined. This paper presents a Machine ...
To make the process easier, Dr. Nima Kalantari, professor in the Department of Computer Science and Engineering at Texas A&M University, and graduate student Qinbo Li have developed a machine-learning-based approach that would allow users to take a single photo and use it to generate novel ...
The purpose of this paper is to establish a computational gait analysis approach for the Noldus Catwalk TM system, in which footprints are automatically captured and stored. METHODS: We present a - to our knowledge - first machine learning based approach for the Catwalk TM system, which ...
2.2 Machine Learning Algorithm 在这篇文章中,使用的算法为Extremely Randomized Trees或者ExtraTrees。ExtraTrees是从随机森林直接修改过来的,之所以选择ExtraTrees是因为它对于参数的取值具有较强的robust性。
02 Learning Branching Decisions 本文并不是提出一个新的branching heuristic,而是使用machine learning通过学习模仿其他分支策略生成的决策去构建一个branching strategy。本文的目标是创造一个效率更高的strong branching的approximation。 2.1 Data Set Generation ...
we propose a hybrid knowledge-based and machine learning-based approach to overcome these limitations in the context of the University of Minnesota Pathway Prediction System (UM-PPS). The proposed solution performs relative reasoning in a machine learning framework, and obtains one probability estimate...