{"title":"AdaBoost with Stumps","authors":"","doi":"10.1002/9781119404729.ch23","DOIUrl":"https://doi.org/10.1002/9781119404729.ch23","url":null,"abstract":"","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"97 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114255841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Basic Overview of Statistics","authors":"","doi":"10.1002/9781119404729.ch12","DOIUrl":"https://doi.org/10.1002/9781119404729.ch12","url":null,"abstract":"","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129046179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Editors and Other Tools","authors":"","doi":"10.1002/9781119404729.ch4","DOIUrl":"https://doi.org/10.1002/9781119404729.ch4","url":null,"abstract":"","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130371923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dictionaries and Tables","authors":"","doi":"10.1002/9781119404729.ch2","DOIUrl":"https://doi.org/10.1002/9781119404729.ch2","url":null,"abstract":"","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"46 30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125173932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Time Series Econometrics","authors":"John Levendis","doi":"10.1002/9781119404729.ch14","DOIUrl":"https://doi.org/10.1002/9781119404729.ch14","url":null,"abstract":"","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129981043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Processing Information","authors":"K. Štěpánová, Nick Matzke, J. Langford","doi":"10.1002/9781119404729.ch27","DOIUrl":"https://doi.org/10.1002/9781119404729.ch27","url":null,"abstract":"","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124194906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unsupervised Machine Learning: The Apriori Algorithm","authors":"","doi":"10.1002/9781119404729.ch26","DOIUrl":"https://doi.org/10.1002/9781119404729.ch26","url":null,"abstract":"","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132973420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Parallelisation","authors":"M. O. Parallelisation","doi":"10.1002/9781119404729.ch8","DOIUrl":"https://doi.org/10.1002/9781119404729.ch8","url":null,"abstract":"Coursework for MSc only • Write a paper on “A comparative evaluation of inline optimisations for dynamic object orientated compilers” • If you wish you can make the paper more specific “A comparative evaluation of inline optimisations for Jikes” • Or more generic “A comparative evaluation of optimisations for dynamic object orientated compilers” • Or if you looked at another optimisation like reg allocation then “A comparative evaluation of register allocation optimisation for dynamic object orientated compilers” No other options.","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116172479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Parse Trees","authors":"","doi":"10.1002/9781119404729.ch10","DOIUrl":"https://doi.org/10.1002/9781119404729.ch10","url":null,"abstract":"","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115223353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Few Use Cases","authors":"V. Cerf","doi":"10.1002/9781119404729.ch11","DOIUrl":"https://doi.org/10.1002/9781119404729.ch11","url":null,"abstract":"","PeriodicalId":296341,"journal":{"name":"Machine Learning and Big Data with kdb+/q","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133427585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}