EAGER: programming repetitive tasks by example
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Inference of Reversible Languages
Journal of the ACM (JACM)
Learning Syntax by Automata Induction
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Inferring Flow of Control in Program Synthesis by Example
KI '99 Proceedings of the 23rd Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
An adaptive conversational interface for destination advice
CIA'99 Proceedings of the 3rd international conference on Cooperative information agents III
Machine learning for intelligent systems
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Experiments in UNIX command prediction
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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To support the goal of allowing users to record and retrieve information, this paper describes an interactive note-taking system for pen-based computers with two distinctive features. First, it actively predicts what the user is going to write. Second, it automatically constructs a custom, button-box user interface on request. The system is an example of a learning-apprentice software-agent. A machine learning component characterizes the syntax and semantics of the user's information. A performance system uses this learned information to generate completion strings and construct a user interface.