Theory of recursive functions and effective computability
Theory of recursive functions and effective computability
Machine Learning
Machine Learning
Learning Approaches to Wrapper Induction
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
A Unifying Approach to HTML Wrapper Representation and Learning
DS '00 Proceedings of the Third International Conference on Discovery Science
Evaluation of e-learning systems based on fuzzy clustering models and statistical tools
Expert Systems with Applications: An International Journal
Towards understanding meme media knowledge evolution
Proceedings of the 2005 international conference on Federation over the Web
Mechanisms of knowledge evolution for web information extraction
Proceedings of the 2005 international conference on Federation over the Web
Integrated visualization framework for relational databases and web resources
IHI'04 Proceedings of the 2004 international conference on Intuitive Human Interfaces for Organizing and Accessing Intellectual Assets
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A new formal framework of learning - learning by consistency queries - is introduced and studied. The theoretical approach outlined here is implemented as the core technology of a prototypical development system named LExIKON which supports interactive information extraction in practically relevant cases exactly in the way described in the present paper.The overall scenario of learning by consistency queries for information extraction is formalized and different constraints on the query learners are discussed and formulated. The principle learning power of the resulting types of query learners is analyzed by comparing it to the power of well-known types of standard learning devices including unconstrained inductive inference machines as well as consistent, total, finite, and iterative learners.