가능도(likelihood)와 최대가능도추정(MLE)
가능도(likelihood)와 최대가능도추정(MLE)
READ ↗TAGGED NOTES
Data Science
자연어 처리, 논문, 선형대수, 통계 관련 포스트
26 POSTSBROWSE THE ARCHIVE
Data Topics
EM Algorithm 쉽게 이해하기
EM 알고리즘은 통계 모델의 수식을 정확히 풀 수 없을때 최대 가능도를 구하는데 사용된다.
READ ↗딥 러닝을 통한 자연어처리 입문 wikidocs 추천
위키독스에있는 ‘딥 러닝을 통한 자연어처리 입문’ 이책 진짜 대박임.. 진짜 입문하는사람한테 필요한 모든 정보가 다있고 정리도 잘되어있음 나만보고싶은데 너무 유용해서 공유https://wikidocs.net/22592
READ ↗Using Random Forest Classifiers to Detect Duplicate Gazetteer Records (IEEE 2012)
Using Random Forest Classifiers to Detect Duplicate Gazetteer RecordsIEEE에 2012년 발표된 논문.중복검출에 Random forest 사용함.스페인어?로 쓰여있어서 abstract민 겨우봤고..result 표만 건짐;;
READ ↗Toponym matching through deep neural networks
Toponym matching through deep neural networksInternational Journal of Geographical Information Science 2017 게재된 논문.
READ ↗Detecting Nearly Duplicated Records in Location Datasets
Detecting Nearly Duplicated Records in Location Datasets지리 데이터셋에서 중복레코드 검출하기ACM 2010에 게재됨
READ ↗show and tell
Show and Tell: A Neural Image Caption Generator구글에서 2015 CVPR에서 발표한 논문. 말그대로 SHOW AND TELL(그림을 보고 뭔그림인지 말함).Image Captioning에 대한 논문이다.그림을 CNN에 넣어서...
READ ↗Flying Large Constellations using Automation and Big Data (2016)
Flying Large Constellations using Automation and Big Data (2016)빅데이터와 자동화를 이용한 대규모 인공위성그룹(satellite constellation) 운영
READ ↗CHARTing the Future – An Offline Data Analysis & Reporting Toolkit to support Automated Decision-making in Flight Operations (2018)
CHARTing the Future – An Offline Data Analysis & Reporting Toolkit to support Automated Decision-making in Flight Operations (2018)CHARTing the Future - offline data...
READ ↗빅데이터분석, 통계학
빅데이터분석을 하면 통계학이 필수적으로 등장한다.그 이유는 빅데이터 분석의 궁극적인 이유와 연관된다.빅데이터 분석은 나에게 주어진 데이터로 현재는 알 수 없는 무언가를 예측을 하고자한다.빅데이터가 아무리 커다란...
READ ↗text similarity 비교를 위한 여러 기법
similarity 비교를 위한 여러가지 기법이 있다. 하나씩 알아보자
READ ↗Onboard Observation Task Planning for an Autonomous Earth Observation Satellite Using Long Short-Term Memory
Onboard Observation Task Planning for an Autonomous Earth Observation Satellite Using Long Short-Term MemoryLSTM을 이용한 지구관측위성의 Onboard Observation Task planning.
READ ↗Applications of Deep Learning Neural Networks to Satellite Telemetry Monitoring
Applications of Deep Learning Neural Networks to Satellite Telemetry Monitoring위성 원격측정 모니터링을 위한 심층학습 신경망 적용Corey O’Meara, Leonard Schlag, Martin Wickler Deutsches Zentrum für...
READ ↗Big data based operations for space systems
Big data based operations for space systems
READ ↗Using Twitter to Predict When Vulnerabilities will be Exploited
Using Twitter to Predict When Vulnerabilities will be ExploitedTwitter를 사용한 취약성 공격 시기 예측
READ ↗Plus Size Models and Body Positivity - Focusing on Online Discourses around #Plussizemodel
Plus Size Models and Body Positivity : Focusing on Online Discourses around #Plussizemodel저자 Sunyang park, So Jung Yun
READ ↗Real-time Event Detection on Social Data Streams (2019.07)
Real-time Event Detection on Social Data Streams (2019.07)Social data stream에서 실시간으로 이벤트 감지하기
READ ↗Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor DecompositionSime-Supervised Binary Multi-Target Tensor Decomposition(준지도학습) 으로 거짓 리뷰 검출하기
READ ↗Predicting Evacuation Decisions using Representations of Individuals’ Pre-DisasterWeb Search Behavior
Predicting Evacuation Decisions using Representations of Individuals’ Pre-DisasterWeb Search Behavior개인의 Pre-DisasterWeb 검색 행동패턴을 통해 대피 결정 예측하기
READ ↗Characterizing Clickbaits on Instagram
Characterizing Clickbaits on Instagram
READ ↗The Economics of Privacy
The Economics of Privacy프라이버시의 경제
READ ↗The Economics of Information Security
The Economics of Information Security정보보호의 경제
READ ↗Social network analysis - Characteristics of online social networks after a disaster
Social network analysis: Characteristics of online social networks after a disaster
READ ↗Mining Twitter Data for Improved Understanding of Disaster Resilience
Mining Twitter Data for Improved Understanding of Disaster Resilience
READ ↗Very Deep Convolutional Networks for Text Classification
Very Deep Convolutional Networks for Text Classification
READ ↗Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
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