Smoothing in Probability Estimation Trees
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Smoothing in Probability Estimation Trees
Summary
Smoothing in Probability Estimation Trees is a master's thesis[1].
Key Facts
- Smoothing in Probability Estimation Trees's instance of is recorded as master's thesis[2].
- Smoothing in Probability Estimation Trees was published by Waikato Research Commons[3].
- Smoothing in Probability Estimation Trees's place of publication is recorded as Hamilton[4].
- Smoothing in Probability Estimation Trees's language of work or name is recorded as English[5].
- Smoothing in Probability Estimation Trees's country of origin is recorded as New Zealand[6].
- Smoothing in Probability Estimation Trees was published on 2011[7].
- Smoothing in Probability Estimation Trees's main subject is machine learning[8].
- Smoothing in Probability Estimation Trees's work available at URL is recorded as https://researchcommons.waikato.ac.nz/handle/10289/5701[9].
- Smoothing in Probability Estimation Trees's title is recorded as Smoothing in Probability Estimation Trees[10].
- Smoothing in Probability Estimation Trees's author name string is recorded as Zhimeng Han[11].
- Smoothing in Probability Estimation Trees's thesis submitted to is recorded as University of Waikato[12].
- Smoothing in Probability Estimation Trees's on focus list of Wikimedia project is recorded as NZThesisProject[13].
- Smoothing in Probability Estimation Trees's copyright status is recorded as copyrighted[14].
- Smoothing in Probability Estimation Trees's online access status is recorded as open access[15].
- Smoothing in Probability Estimation Trees's thesis committee member is recorded as Eibe Frank[16].
- Smoothing in Probability Estimation Trees's thesis submitted for degree is recorded as Master of Science[17].
Body
Designation and Status
Smoothing in Probability Estimation Trees's instance of is recorded as master's thesis[2].