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|Title:||LEARNING PROCEDURES BY SIMILARITY: MORE ADVENTURES WITH METAMOUSE|
|Abstract:||METAMOUSE is a system for inducing graphical procedures on the basis of the examples it is shown. It is capable of inducing procedures containing variables, conditional branches and loops. A procedure can be induced from the first example shown, and can be generalized in accordance with the examples the system encounters later on. METAMOUSE starts predicting user actions as soon as it is possible, thus facilitating the process of procedure induction and also lessening the possibility of user errors. The process of procedure induction is based on domain knowledge, and the learning algorithm can be classified as an instance of learning by explanation. The goal of this research is to investigate the effect of similarity-based techniques application to procedure induction. Such learning techniques are rather independent of the area of application. Furthermore, machine learning techniques based on similarities in examples have not been used in procedure induction before, and therefore, it is to be expected that the results of this research will be very stimulating.|
|Appears in Collections:||Technical Reports|
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