Sarah O'Connell, Barry O'Sullivan, Eugene C. Freuder  Home/Search
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Abstract: this paper we present an approach to interactive constraint acquisition based on techniques from the field of machine learning. During interactive constraint acquisition we would like to employ a strategy which minimizes the dialog length between the user and the computer. In this paper, we compare a number of different heuristics for interactive query generation. We demonstrate that the interactive strategy used to acquire constraints depends on the topology of the hypothesis space and the... (Update)
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BibTeX entry: (Update)
@misc{ o'connell-study,
author = "Sarah O'Connell and Barry O'Sullivan and Eugene C. Freuder",
title = "A Study of Query Generation Strategies for Interactive Constraint Acquisition",
url = "citeseer.ist.psu.edu/636732.html" }
Citations (may not include all citations):25 Generalization as Search (context) - Mitchell - 1982
13 Suggestion Strategies for Constraint-Based Matchmaker Agents - Freuder, Wallace - 1998
6 Concept Learning and the General-to-Specific Ordering (context) - Mitchell - 1997
4 Generating Tradeoffs for Interative ConstraintBased Configur.. (context) - Freuder, O'Sullivan - 2001
4 A Framework for Learning Constraints (context) - Padmanabhuni, You et al. - 1996
3 Interactive Constraint Acquisition -- Position Paper (context) - O'Sullivan, Freuder et al. - 2001
2 Acquiring both Global and Local Preferences in Interactive C.. (context) - Rossi, Sperduti - 2001
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