Case-Based Similarity Assessment: Estimating Adaptability from Experience

@inproceedings{citeulike:1620638, abstract = {Case-based problem-solving systems rely on similarity assessment to select stored cases whose solutions are easily adaptable to fit current problems. However, widely-used similarity assessment strategies, such as evaluation of semantic similarity, can be poor predictors of adaptability. As a result, systems may select cases that are difficult or impossible for them to adapt, even when easily adaptable cases are available in memory. This paper presents a new similarity assessment approach which...}, author = {Leake, David B. and Kinley, Andrew and Wilson, David C. }, booktitle = {AAAI/{IAAI}}, citeulike-article-id = {1620638}, keywords = {cbr, similarity}, pages = {674--679}, posted-at = {2007-09-04 17:52:21}, priority = {2}, title = {Case-Based Similarity Assessment: Estimating Adaptability from Experience}, url = {http://citeseer.ist.psu.edu/leake97casebased.html}, year = {1997} }

TY - CONF ID - citeulike:1620638 L3 - citeulike-article-id:1620638 TI - Case-Based Similarity Assessment: Estimating Adaptability from Experience T2 - AAAI/{IAAI} SP - 674 EP - 679 N2 - Case-based problem-solving systems rely on similarity assessment to select stored cases whose solutions are easily adaptable to fit current problems. However, widely-used similarity assessment strategies, such as evaluation of semantic similarity, can be poor predictors of adaptability. As a result, systems may select cases that are difficult or impossible for them to adapt, even when easily adaptable cases are available in memory. This paper presents a new similarity assessment approach which... KW - cbr KW - similarity AU - Leake, David AU - Kinley, Andrew AU - Wilson, David PY - 1997/// UR - http://citeseer.ist.psu.edu/leake97casebased.html ER -