Generalization Bounds Of Erm-based Learning Processes For Continuous-time Markov Chains

Publisher:
IEEE-inst Electrical Electronics Engineers Inc
Publication Type:
Journal Article
Citation:
IEEE Transactions On Neural Networks And Learning Systems, 2012, 23 (12), pp. 1872 - 1883
Issue Date:
2012-01
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Many existing results on statistical learning theory are based on the assumption that samples are independently and identically distributed (i.i.d.). However, the assumption of i.i.d. samples is not suitable for practical application to problems in which
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