The Identification of Context-Sensitive Features: A Formal Definition of Context for Concept Learning
| dc.creator | Turney, Peter D. | |
| dc.date | 2002-12-12 | |
| dc.date.accessioned | 2026-07-07T03:19:17Z | |
| dc.date.available | 2026-07-07T03:19:17Z | |
| dc.description | 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. | |
| dc.description | 7 pages | |
| dc.identifier | https://arxiv.org/abs/cs/0212038 | |
| dc.identifier | http://arxiv.org/abs/cs/0212038 | |
| dc.identifier | 13th International Conference on Machine Learning, Workshop on Learning in Context-Sensitive Domains, Bari, Italy, (1996), 53-59 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/31397 | |
| dc.subject | Machine Learning | |
| dc.subject | Computer Vision and Pattern Recognition | |
| dc.subject | I.2.6; I.5.2 | |
| dc.title | The Identification of Context-Sensitive Features: A Formal Definition of Context for Concept Learning | |
| dc.type | text |