Peter Turney. The management of context-sensitive features: A review of strategies. In Proceedings of the Workshop on Learning in Context-sensitive Domains at the 13th International Conference on Machine Learning, pages 60--65, 1996. Home/Search Document Details and Download
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Learning and Exploiting Context in Agents - Edmonds (Correct)
.... augment strategies using implicit information about the context to adjust features of the learning such as the weightings [6] or normalisation [26] Turney discusses the problem in [28] He surveys the various heuristics tried to mitigate the effects of context on machine learning techniques in [29]. He maintains a bibliography on context sensitive learning at URL: http: extractor.iit.nrc.ca bibliographies context sensitive.html 2.4 Context in Natural Language It has been recognized for a while that the external (and linguistic) context plays a role in the understanding of natural ....
Turney, P.D., The management of context-sensitive features: A review of strategies. in ICML-96 Workshop on Learning in Context-Sensitive Domains, (Bari, Italy, 1996), 60-66.
Context in Artificial Intelligence: I. A Survey of the literature - Brézillon (Correct)
....its temporal distribution of values and the time when certain other attributes are predictive. Intuitively, a contextual attribute is one that could be used to predict which attributes are predictive at any point in time. Thus, contextual clues contrain the learning. In a similar spirit, Turney [53] reviews five heuristic strategies for handling context sensitive features in supervised machine learning from examples to recover hidden (implicit, missing) contextual information. Then he presents two methods for recovering two lost (implicit) contextual information. Park and Wilkins [46] ....
Turney, P.: The management of context-sensitive features: A review of strategies. Proceedings of the ICML-96 Workshop on Learning in Context-Sensitive Domains, 1996, pp. 53-69.
A Normalization Method For Contextual Data: Experience.. - Létourneau, Matwin.. (Correct)
....and or explanation of change. Turney Halasz [6] describe a project in which contextual normalization is applied to the diagnosis of engine faults. The normalization in that work is performed by a transformation based on the average and standard deviations of the contextual parameters. Turney [4] provides a formal definition of contextual features. This applies to learning classification rules, which is not the task that we are handling in this paper. Features are divided into primary, contextual, and relevant features. In an accompanying paper Turney [5] discusses five methods for ....
Turney, P.: The management of Context-sensitive Features: A Review of Strategies. Procs. of the Workshop on Leaning in Context-sensitive Domains, 13th International Conf. on Machine Learning (1996) 60-65.
Similarity-based Opponent Modelling using Imperfect Domain .. - Timo Steffens Institute (Correct)
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Peter Turney. The management of context-sensitive features: A review of strategies. In Proceedings of the Workshop on Learning in Context-sensitive Domains at the 13th International Conference on Machine Learning, pages 60--65, 1996.
Knowledge-Rich Similarity-Based Classification - Timo Steens Institute (Correct)
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Peter Turney. The management of context-sensitive features: A review of strategies. In Proceedings of the Workshop on Leaning in Context-sensitive Domains at the 13th International Conference on Machine Learning, pages 60--65, 1996.
Knowledge-Rich Similarity-Based Classification - Steffens (Correct)
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Peter Turney. The management of context-sensitive features: A review of strategies. In Proceedings of the Workshop on Leaning in Context-sensitive Domains at the 13th International Conference on Machine Learning, pages 60--65, 1996.
Similarity-based Opponent Modelling Using Imperfect Domain Theories - Steffens (Correct)
No context found.
Peter Turney. The management of context-sensitive features: A review of strategies. In Proceedings of the Workshop on Learning in Context-sensitive Domains at the 13th International Conference on Machine Learning, pages 60--65, 1996.
References - Aivazian Buchstaber Yenyukov (Correct)
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P. Turney, The Management of Context-Sensitive Features: a Review of Strategies, in Proceedings of the Workshop on Learning in Context-Sensitive Domains (at the ICML-96), Bari, Italy, pp. 60-66, 1996.
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