Titlebook: Machine Learning of Inductive Bias; Paul E. Utgoff Book 1986 Kluwer Academic Publishers 1986 grammar.knowledge.knowledge base.learning.mac

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Paul E. Utgofftween measured values of intensity and atmospheric parameters. However, the theoretical basis of the inverse problem solution is well investigated in the case of linear inverse problems only [.]. Thus, to make use of the existing numerical methods the forward model has to be linearized, i.e., a line

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tween measured values of intensity and atmospheric parameters. However, the theoretical basis of the inverse problem solution is well investigated in the case of linear inverse problems only [.]. Thus, to make use of the existing numerical methods the forward model has to be linearized, i.e., a line

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0893-3405 et been observed by the learning program. Learning programs that make undesir­ able inductive leaps do so due to undesirable bias. The research problem addressed here is to show how a learning program can learn a desirable inductive bias.978-1-4612-9408-5978-1-4613-2283-2Series ISSN 0893-3405

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