Machine Learning Methods for Computational Social Science
Machine Learning Methods for Computational Social Science
- Material Type
- 단행본
- 0016054549
- Date and Time of Latest Transaction
- 20220210094337
- ISBN
- 9798471108707
- DDC
- 320
- Author
- Tarr, Alexander.
- Title/Author
- Machine Learning Methods for Computational Social Science
- Publish Info
- [Sl] : Princeton University, 2021
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Material Info
- 188 p
- General Note
- Source: Dissertations Abstracts International, Volume: 83-04, Section: B.
- General Note
- Advisor: Imai, Kosuke.
- 학위논문주기
- Thesis (Ph.D.)--Princeton University, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Political science
- Subject Added Entry-Topical Term
- Artificial intelligence
- Subject Added Entry-Topical Term
- Statistics
- Index Term-Uncontrolled
- Causal inference
- Index Term-Uncontrolled
- Gerrymandering
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- MCMC
- Index Term-Uncontrolled
- SVM
- Index Term-Uncontrolled
- Video data
- Added Entry-Corporate Name
- Princeton University Electrical Engineering
- Host Item Entry
- Dissertations Abstracts International. 83-04B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인 후 원문을 볼 수 있습니다.
- 소장사항
-
202202 2022
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