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- ArticleJuly 1998
Hybrid knowledge based system for automatic classification of B-scan images from ultrasonic rail inspection
AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligenceJuly 1998, Pages 1121–1126Dutch Railways use a special train for the ultrasonic inspection of rails. The output of the ultrasonic scanning system installed on the train consists of echo images - so-called B-scans. The Bscans contain images of rail constructions, noise artifacts, ...
- ArticleJuly 1998
Learning to classify text from labeled and unlabeled documents
AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligenceJuly 1998, Pages 792–799In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper shows that the accuracy of text classifiers trained with a small number of ...
- ArticleJuly 1998
Concepts from time series
AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligenceJuly 1998, Pages 739–745This paper describes a way of extracting concepts from streams of sensor readings. In particular, we demonstrate the value of attract or reconstruction techniques for transforming time series into clusters of points. These clusters, in turn, represent ...
- ArticleJuly 1998
Adaptive Web sites: automatically synthesizing Web pages
AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligenceJuly 1998, Pages 727–732The creation of a complex web site is a thorny problem in user interface design. In IJCAI '97, we challenged the AI community to address this problem by creating adaptive web sites: sites that automatically improve their organization and presentation by ...
- ArticleJuly 1998
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligenceJuly 1998, Pages 714–720Recommendation systems make suggestions about artifacts to a user. For instance, they may predict whether a user would be interested in seeing a particular movie. Social recomendation methods collect ratings of artifacts from many individuals, and use ...
- ArticleJuly 1998
Robust classification systems for imprecise environments
AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligenceJuly 1998, Pages 706–713In real-world environments it is usually difficult to specify target operating conditions precisely. This uncertainty makes building robust classification systems problematic. We show that it is possible to build a hybrid classifier that will perform at ...
- ArticleJuly 1998
Boosting classifiers regionally
AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligenceJuly 1998, Pages 700–705This paper presents a new algorithm for Boosting the performance of an ensemble of classifiers. In Boosting, a series of classifiers is used to predict the class of data where later members of the series concentrate on training data that is incorrectly ...
- ArticleJuly 1998
Boosting in the limit: maximizing the margin of learned ensembles
AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligenceJuly 1998, Pages 692–699The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has shown that the Adaboost algorithm is particularly effective at producing ensembles ...
- ArticleJuly 1998
Knowledge intensive exception spaces
AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligenceJuly 1998, Pages 574–579In this paper we extend the concept of exception spaces as defined by Cost and Salzberg (Cost and Salzberg, 1993), in the context of exemplar-based reasoning. Cost et al. defined exception spaces based on the goodness, in terms of performance, of an ...
- ArticleJuly 1998
Towards text knowledge engineering
AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligenceJuly 1998, Pages 524–531We introduce a methodology for automating the maintenance of domain-specific taxonomies based on natural language text understanding. A given ontology is incrementally updated as new concepts are acquired from real-world texts. The acquisition process ...
- ArticleJuly 1998
Learning to extract symbolic knowledge from the World Wide Web
AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligenceJuly 1998, Pages 509–516The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a computer understandable world wide knowledge base whose content mirrors ...
- ArticleJuly 1998
Metacognition in software agents using classifier systems
AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligenceJuly 1998, Pages 83–88Software agents "living" and acting in a real world software environment, such as an operating system, a network, or a database system, can carry out many tasks for humans. Metacognition is very important for humans. It guides people to select, evaluate,...