<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "The identification of context-sensitive features: A formal definition of context for concept learning"^^ . "A large body of research in machine learning is concerned with supervised learning from examples. The examples are typically represented as vectors in a multi- dimensional feature space (also known as attribute-value descriptions). A teacher partitions a set of training examples into a finite number of classes. The task of the learning algorithm is to induce a concept from the training examples. In this paper, we formally distinguish three types of features: primary, contextual, and irrelevant features. We also formally define what it means for one feature to be context-sensitive to another feature. Context-sensitive features complicate the task of the learner and potentially impair the learner's performance. Our formal definitions make it possible for a learner to automatically identify context-sensitive features. After context-sensitive features have been identified, there are several strategies that the learner can employ for managing the features; however, a discussion of these strategies is outside of the scope of this paper. The formal definitions presented here correct a flaw in previously proposed definitions. We discuss the relationship between our work and a formal definition of relevance. \n\n"^^ . "1996" . . . . . . . . "Peter"^^ . "Turney"^^ . "Peter Turney"^^ . . . . . . "The identification of context-sensitive features: A formal definition of context for concept learning (PDF)"^^ . . . . . . . . . "NRC-39222.pdf"^^ . . . "The identification of context-sensitive features: A formal definition of context for concept learning (Indexer Terms)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #1866 \n\nThe identification of context-sensitive features: A formal definition of context for concept learning\n\n" . "text/html" . . . "Artificial Intelligence" . . . "Machine Learning" . . . "Statistical Models" . .