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职业迁徙
个人简介
The common theme behind my research is the investigation and analysis of learning methods that make use of prior knowledge to guide the learning process. Typically, these learning methods combine empirical (i.e., correlational or data-driven) and explanation-based (i.e., analytical or knowledge-intensive) learning techniques. The goal is to create learning systems that accept as input background knowledge, although incomplete and incorrect, along with training examples, and learn to make classifications that are more accurate than that made by either the background knowledge alone, or by the results of applying an induction algorithm on the training data.
研究兴趣
论文共 247 篇作者统计合作学者相似作者
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Ophthalmology Scienceno. 1 (2023): 100233-100233
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CoRR (2023)
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Ophthalmology Scienceno. 1 (2023): 100233
Justin Huynh,Samira Masoudi, Abraham Noorbakhsh,Amin Mahmoodi,Kyle Hasenstab,Michael Pazzani,Albert Hsiao
MIDLpp.590-604, (2022)
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Artificial Intelligence and Applications (2022)
International Journal of Artificial Intelligence & Applicationsno. 6 (2022): 51-72
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crossref(2022)
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