Literature Survey: Application of Machine Learning Techniques on Static Sign Language RecognitionSign Language Recognition systems have been thoroughly researched in recent times to bridge the gap between the signer and non-signer community. This paper focuses on fulfilling the need for a thorough review...
A survey on sentiment analysis methods, applications, and challenges 2022, Artificial Intelligence Review Sentiment analysis in hospitality and tourism: a thematic and methodological review 2022, International Journal of Contemporary Hospitality Management A Survey of Ensemble Learning: Concepts, Algorithms, ...
Mixture of experts: a literature survey 来自 万方 喜欢 0 阅读量: 431 作者:S Masoudnia,R Ebrahimpour 摘要: Mixture of experts (ME) is one of the most popular and interesting combining methods, which has great potential to improve performance in machine learning. ME is established based on ...
Machine learning approach to find the abilities in a candidate for steady employment in engineering field: A literature surveyArtificial Intelligence techniques includes Machine Learning, Fuzzy systems, Image processing, neural networks etc. These techniques are very helpful for doing prediction, ...
Active Learning Literature Survey 来自 Semantic Scholar 喜欢 0 阅读量: 908 作者: A Krishnakumar 摘要: The most time consuming and expensive task in machine learning is the gathering of labeled data to train the model or to estimate its parameters. In the real-world scenario, the availability ...
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A Survey: Framework to Develop Retrieval Algorithms of Indexing Techniques on Learning Material This paper presents a review on indexing techniques to develop retrieval algorithms framework on learning material. Analysis of the framework was drawn from surveys on literature review and experiment on online...
We also provides a desk where different active learning algorithms can be compared by evaluation on benchmark datasets. 1 Introduction The central goal of machine learning is to develop systems that can learn from experience or data and improve their performance at some task. In many natural ...
and food supply chain. In the area of the food supply chain Zhu et al. (2021) presented a survey on machine learning, DL algorithms, and machine vision methods and their applications in food processing such as product quality and safety management, process controlling, packaging, and foreign ...
Djeumou, Franck, et al. ["One Model to Drift Them All: Physics-Informed Conditional Diffusion Model for Driving at the Limits."] 8th Annual Conference on Robot Learning. Jia, Xiaogang, et al."MaIL: Improving Imitation Learning with Mamba."8th Annual Conference on Robot Learning. ...