<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "Technical note: Bias and the quantification of stability"^^ . "Research on bias in machine learning algorithms has generally been concerned with the\nimpact of bias on predictive accuracy. We believe that there are other factors that should\nalso play a role in the evaluation of bias. One such factor is the stability of the algorithm;\nin other words, the repeatability of the results. If we obtain two sets of data from the same\nphenomenon, with the same underlying probability distribution, then we would like our\nlearning algorithm to induce approximately the same concepts from both sets of data. This\npaper introduces a method for quantifying stability, based on a measure of the agreement\nbetween concepts. We also discuss the relationships among stability, predictive accuracy,\nand bias."^^ . "1995" . . "20" . . "Kluwer"^^ . . . "Machine Learning"^^ . . . . . . . . "Peter D."^^ . "Turney"^^ . "Peter D. Turney"^^ . . . . . . "Technical note: Bias and the quantification of stability (PDF)"^^ . . . . . . . . . "NRC-38313.pdf"^^ . . . "Technical note: Bias and the quantification of stability (Indexer Terms)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #1819 \n\nTechnical note: Bias and the quantification of stability\n\n" . "text/html" . . . "Artificial Intelligence" . . . "Machine Learning" . . . "Statistical Models" . .