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Differentially Private Statistical Estimation.
Differentially Private Statistical Estimation.
상세정보
- 자료유형
- 학위논문
- Control Number
- 0016054098
- International Standard Book Number
- 9798535543109
- Dewey Decimal Classification Number
- 004
- Main Entry-Personal Name
- Singhal, Vikrant.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Northeastern University., 2021
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Physical Description
- 246 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- General Note
- Advisor: Ullman, Jonathan.
- Dissertation Note
- Thesis (Ph.D.)--Northeastern University, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Computer science.
- Subject Added Entry-Topical Term
- Artificial intelligence.
- Subject Added Entry-Topical Term
- Cryptography.
- Subject Added Entry-Topical Term
- Research.
- Subject Added Entry-Topical Term
- Population.
- Subject Added Entry-Topical Term
- Statistics.
- Subject Added Entry-Topical Term
- Accuracy.
- Subject Added Entry-Topical Term
- Datasets.
- Subject Added Entry-Topical Term
- Educational materials.
- Subject Added Entry-Topical Term
- Noise.
- Subject Added Entry-Topical Term
- Algorithms.
- Subject Added Entry-Topical Term
- Privacy.
- Subject Added Entry-Topical Term
- Parameter estimation.
- Index Term-Uncontrolled
- Differential
- Index Term-Uncontrolled
- Learning
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- Privacy
- Index Term-Uncontrolled
- Security
- Index Term-Uncontrolled
- Statistics
- Added Entry-Corporate Name
- Northeastern University Computer Science
- Host Item Entry
- Dissertations Abstracts International. 83-03B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:609086
MARC
008220602s2021 ulk 00 kor■001000016054098
■00520220210094117
■020 ▼a9798535543109
■035 ▼a(MiAaPQ)AAI28713102
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a004
■1001 ▼aSinghal, Vikrant.
■24510▼aDifferentially Private Statistical Estimation.
■260 ▼a[S.l.]▼bNortheastern University. ▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a246 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-03, Section: B.
■500 ▼aAdvisor: Ullman, Jonathan.
■5021 ▼aThesis (Ph.D.)--Northeastern University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0160.
■650 4▼aComputer science.
■650 4▼aArtificial intelligence.
■650 4▼aCryptography.
■650 4▼aResearch.
■650 4▼aPopulation.
■650 4▼aStatistics.
■650 4▼aAccuracy.
■650 4▼aDatasets.
■650 4▼aEducational materials.
■650 4▼aNoise.
■650 4▼aAlgorithms.
■650 4▼aPrivacy.
■650 4▼aParameter estimation.
■653 ▼aDifferential
■653 ▼aLearning
■653 ▼aMachine learning
■653 ▼aPrivacy
■653 ▼aSecurity
■653 ▼aStatistics
■690 ▼a0984
■690 ▼a0800
■690 ▼a0463
■71020▼aNortheastern University▼bComputer Science.
■7730 ▼tDissertations Abstracts International▼g83-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0160
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16054098▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
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