TY - GEN
T1 - Advice refinement in knowledge-based SVMs
AU - Kunapuli, Gautam
AU - MacLin, Richard
AU - Shavlik, Jude W.
PY - 2011
Y1 - 2011
N2 - Knowledge-based support vector machines (KBSVMs) incorporate advice from domain experts, which can improve generalization significantly. A major limitation that has not been fully addressed occurs when the expert advice is imperfect, which can lead to poorer models. We propose a model that extends KBSVMs and is able to not only learn from data and advice, but also simultaneously improves the advice. The proposed approach is particularly effective for knowledge discovery in domains with few labeled examples. The proposed model contains bilinear constraints, and is solved using two iterative approaches: successive linear programming and a constrained concave-convex approach. Experimental results demonstrate that these algorithms yield useful refinements to expert advice, as well as improve the performance of the learning algorithm overall.
AB - Knowledge-based support vector machines (KBSVMs) incorporate advice from domain experts, which can improve generalization significantly. A major limitation that has not been fully addressed occurs when the expert advice is imperfect, which can lead to poorer models. We propose a model that extends KBSVMs and is able to not only learn from data and advice, but also simultaneously improves the advice. The proposed approach is particularly effective for knowledge discovery in domains with few labeled examples. The proposed model contains bilinear constraints, and is solved using two iterative approaches: successive linear programming and a constrained concave-convex approach. Experimental results demonstrate that these algorithms yield useful refinements to expert advice, as well as improve the performance of the learning algorithm overall.
UR - http://www.scopus.com/inward/record.url?scp=85162439319&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:85162439319
SN - 9781618395993
T3 - Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011
BT - Advances in Neural Information Processing Systems 24
PB - Neural Information Processing Systems
T2 - 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011
Y2 - 12 December 2011 through 14 December 2011
ER -