Deductive Learning [and Discussion]
作者：
关键词: Human–computer interaction 、 Action learning 、 General purpose 、 Active learning (machine learning) 、 Instance-based learning 、 Process (engineering) 、 Context (language use) 、 Machine learning 、 Artificial intelligence 、 Concept learning 、 Computer science 、 Algorithmic learning theory
摘要: A non-technical discussion of a new approach to the problem concept learning in context artificial devices is given. Learning viewed as process acquiring program for recognizing from an environment that does not reveal explicit description but only suggests it by such means identifying positive examples it. The proposed model makes possible study reconciles three requirements: classes concepts can be learnt are relevant general purpose knowledge; they characterized; them computationally feasible.
royalsocietypublishing.org 
sci-hub.se 参考文章(1)
J. G. Carbonell, T. M. Mitchell, R. S. Michalski, Machine Learning: An Artificial Intelligence Approach Springer Publishing Company, Incorporated. ,(2013)