Integrating Machine Learning with Human Knowledge
نویسندگان
چکیده
منابع مشابه
Integrating machine learning with knowledge-based systems
Computational learning systems attempt to improve performance with experience, according to some pre-de ned performance dimensions. Many such systems induce rule sets that function as simple knowledge bases (e.g., Quinlan, 1986). Simon (1983) argued that learning can be more e cient than programming for large knowledge-based systems. Thus, hybrid systems involving large knowledge bases may pro ...
متن کاملIntegrating Models of Knowledge and Machine Learning
We propose a theoretical framework allowing a real integration of Machine Learning and Knowledge acquisition. This article shows that the input of a Machine Learning system can be mapped to the model of expertise as it is used in KADS methodology. The notion of learning bias will play a central role. We shall see that parts of it can be identified to what people are used to call the inference a...
متن کاملTechniques for integrating machine learning with knowledge acquisition
Knowledge acquisition is frequently cited as the greatest bottleneck in the development of expert systems. Two primary approaches to knowledge acquisition are elicitation of knowledge from experts (traditional knowledge acquisition) and machine learning. Both approaches have strengths and weaknesses. Experts can draw upon practical experience and both domain specific and general knowledge. In a...
متن کاملExperimental evaluation of integrating machine learning with knowledge acquisition through direct interaction with domain experts
Machine learning and knowledge acquisition from experts have distinct and apparently complementary knowledge acquisition capabilities. This study demonstrates that the integration of these approaches can both improve the accuracy of the knowledge base that is developed and reduce the time taken to develop it. The system studied, called The Knowledge Factory is distinguished by the manner in whi...
متن کاملIntegrating Human Knowledge into a Relational Learning System
The real world can be successfully modeled as consisting of sets of objects, whose associated properties change over time. Relationships among these objects are critical to understanding the world, whether in classifying a current situation or in predicting its future behavior. An intelligent system, then, should be able to incorporate these types of relationships into its reasoning about the w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: iScience
سال: 2020
ISSN: 2589-0042
DOI: 10.1016/j.isci.2020.101656