An expert system for mapping acoustic cues into phonetic features
Information Sciences: an International Journal
Some studies in machine learning using the game of checkers
Computers & thought
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
ACM Computing Surveys (CSUR)
A General Framework for Induction and a Study of Selective Induction
Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition and Valiant's Learning Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Test case generation by means of learning techniques
SIGSOFT '93 Proceedings of the 1st ACM SIGSOFT symposium on Foundations of software engineering
Supervised Learning of Descriptions for Image Recognition Purposes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Testing by means of inductive program learning
ACM Transactions on Software Engineering and Methodology (TOSEM)
Integrating Multiple Learning Strategies in First Order Logics
Machine Learning - Special issue on multistrategy learning
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Separate-and-Conquer Rule Learning
Artificial Intelligence Review
Refining Numerical Constants in First Order Logic Theories
Machine Learning - Special issue on multistrategy learning
Phase Transitions in Relational Learning
Machine Learning
ENIGMA: A System That Learns Diagnostic Knowledge
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Resampling vs Reweighting in Boosting a Relational Weak Learner
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
SMART+: a multi-strategy learning tool
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 2
The problem of induction and machine learning
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Classification of Unseen Examples under Uncertainty
Fundamenta Informaticae
Inductive Logic Programming and Embodied Agents: Possibilities and Limitations
International Journal of Agent Technologies and Systems
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A system that performs automated concept acquisition from examples and has been specially designed to work in noisy environments is presented. The learning methodology is aimed at the target problem of finding discriminant descriptions of a given set of concepts and uses both examples and counterexamples. The learned knowledge is expressed in the form of production rules, organized into separate clusters, linked together in a graph structure. Knowledge extraction is guided by a top-down control strategy, through a process of specialization. The system also utilizes a technique of problem reduction to contain the computational complexity. Several criteria are proposed for evaluating the acquired knowledge. The methodology has been tested on a problem in the field of speech recognition and the experimental results obtained are reported and discussed.