Decision-Making Bias in Instance Matching Model Selection

International Semantic Web Conference, pp. 392-407, 2015.

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Abstract:

Instance matching has emerged as an important problem in the Semantic Web, with machine learning methods proving especially effective. To enhance performance, task-specific knowledge is typically used to introduce bias in the model selection problem. Such biases tend to be exploited by practitioners in a piecemeal fashion. This paper intr...More

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