Applying Preference Biases to Conjunctive and Disjunctive Version Spaces
The paper considers conjunctive and disjunctive version spa- ce learning as an incomplete search in complete hypotheses spaces. The incomplete search is guided by preference biases which are implemented by procedures based on the instance-based boundary sets representation of version spaces. The con...
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| creator | Smirnov, E. N. van den Herik, H. J. |
| description | The paper considers conjunctive and disjunctive version spa- ce learning as an incomplete search in complete hypotheses spaces. The incomplete search is guided by preference biases which are implemented by procedures based on the instance-based boundary sets representation of version spaces. The conditions for tractability of this representation are defined. As a result we propose to use instance-based boundary sets as a basis for the computationally feasible application of preference biases to version spaces. |
| doi_str_mv | 10.1007/3-540-45331-8_31 |
| format | Book Chapter |
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| identifier | ISSN: 0302-9743 |
| ispartof | Artificial Intelligence: Methodology, Systems, and Applications, 2000, Vol.1904, p.321-331 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_1384085 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Learning and adaptive systems |
| title | Applying Preference Biases to Conjunctive and Disjunctive Version Spaces |
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