… cloud jobs to reduce the scheduler complexity and processor utilization. In this work, irrelevant
jobs are considered as the jobs … These jobs are identified through various key validation …

… However, we find that entropy regularization is not enough due to the large exploration space
for job placement. We further adopt another technique based on the ϵ-greedy method [21]. …

… VISUAL EXPLORATION TASKS As stated earlier, our goal is to support the visual exploration
of an iterative process of job … algorithm is a job schedule). It consists of timetables of the …

… to enable data exploration, while keeping the expertise requirements as low as possible. …
JobRating is a job performance rating for some of the accounts and normalized to a scale of …

… job satisfaction remains below the Organization for Economic Co-operation and Development
(OECD) average. As job … and Learning International Survey (TALIS) via machine learning. …

… our experiments on machine learning show that the use of support vector machine significantly
improves our results (Sect. 4.7). This method outperforms two methods of the literature (…

… deep learning techniques. Our goal is to help job seekers and career coaches explore this
… knowledge require a combination of machine learning and information retrieval techniques. …

… orientation, forms and tabulation, data processing, machine math and manuscript typing, …
of business, and career exploration. A job orientation unit provides practice in job-finding skills. …

… , machine learning, deep learning, open-pit, underground mine. The keywords, machine
learning and deep learning, were used to find papers that use ML and deep learning methods …

… In this paper, we describe a visual analytics method and a system to help data scientists
and model developers explore and analyze the behavior of machine learning classifiers. The …