FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2900056434> ?p ?o ?g. }

• W2900056434 abstract "Statistical Machine Learning (SML) refers to a body of algorithms and methods by which computers are allowed to discover important features of input data sets which are often very large in size. The very task of feature discovery from data is essentially the meaning of the keyword `learning' in SML. Theoretical justifications for the effectiveness of the SML algorithms are underpinned by sound principles from different disciplines, such as Computer Science and Statistics. The theoretical underpinnings particularly justified by statistical inference methods are together termed as statistical learning theory. This paper provides a review of SML from a Bayesian decision theoretic point of view -- where we argue that many SML techniques are closely connected to making inference by using the so called Bayesian paradigm. We discuss many important SML techniques such as supervised and unsupervised learning, deep learning, online learning and Gaussian processes especially in the context of very large data sets where these are often employed. We present a dictionary which maps the key concepts of SML from Computer Science and Statistics. We illustrate the SML techniques with three moderately large data sets where we also discuss many practical implementation issues. Thus the review is especially targeted at statisticians and computer scientists who are aspiring to understand and apply SML for moderately large to big data sets." @default.
• W2900056434 created "2018-11-16" @default.
• W2900056434 creator A5056520559 @default.
• W2900056434 creator A5076799471 @default.
• W2900056434 creator A5082581230 @default.
• W2900056434 date "2018-11-09" @default.
• W2900056434 modified "2023-09-27" @default.
• W2900056434 title "A Bayesian Perspective of Statistical Machine Learning for Big Data" @default.
• W2900056434 cites W144454689 @default.
• W2900056434 cites W1479807131 @default.
• W2900056434 cites W1515851193 @default.
• W2900056434 cites W1542941925 @default.
• W2900056434 cites W1549777868 @default.
• W2900056434 cites W1604131870 @default.
• W2900056434 cites W1673075472 @default.
• W2900056434 cites W1922851081 @default.
• W2900056434 cites W1973310094 @default.
• W2900056434 cites W1981613567 @default.
• W2900056434 cites W1982652137 @default.
• W2900056434 cites W2010441486 @default.
• W2900056434 cites W2012662444 @default.
• W2900056434 cites W2020381570 @default.
• W2900056434 cites W2045656233 @default.
• W2900056434 cites W2047028564 @default.
• W2900056434 cites W2072750586 @default.
• W2900056434 cites W2083875149 @default.
• W2900056434 cites W2084544490 @default.
• W2900056434 cites W2091825929 @default.
• W2900056434 cites W2097998348 @default.
• W2900056434 cites W2100483895 @default.
• W2900056434 cites W2106837051 @default.
• W2900056434 cites W2107008379 @default.
• W2900056434 cites W2111296615 @default.
• W2900056434 cites W2115870554 @default.
• W2900056434 cites W2116459397 @default.
• W2900056434 cites W2118075434 @default.
• W2900056434 cites W2120501001 @default.
• W2900056434 cites W2121358800 @default.
• W2900056434 cites W2122825543 @default.
• W2900056434 cites W2124316743 @default.
• W2900056434 cites W2129844177 @default.
• W2900056434 cites W2135046866 @default.
• W2900056434 cites W2135194391 @default.
• W2900056434 cites W2139564957 @default.
• W2900056434 cites W2146610201 @default.
• W2900056434 cites W2148603752 @default.
• W2900056434 cites W2149991487 @default.
• W2900056434 cites W2151554678 @default.
• W2900056434 cites W2152726866 @default.
• W2900056434 cites W2154566431 @default.
• W2900056434 cites W2159058260 @default.
• W2900056434 cites W2161336914 @default.
• W2900056434 cites W2164005910 @default.
• W2900056434 cites W2173213060 @default.
• W2900056434 cites W2189205800 @default.
• W2900056434 cites W2406349003 @default.
• W2900056434 cites W2507351238 @default.
• W2900056434 cites W2557283755 @default.
• W2900056434 cites W2565969885 @default.
• W2900056434 cites W2609731728 @default.
• W2900056434 cites W2736618479 @default.
• W2900056434 cites W2738995938 @default.
• W2900056434 cites W2756095417 @default.
• W2900056434 cites W2782304201 @default.
• W2900056434 cites W2792900243 @default.
• W2900056434 cites W2911964244 @default.
• W2900056434 cites W2912934387 @default.
• W2900056434 cites W2949667497 @default.
• W2900056434 cites W2949867200 @default.
• W2900056434 cites W2950182411 @default.
• W2900056434 cites W2950517871 @default.
• W2900056434 cites W2963351303 @default.
• W2900056434 cites W2963433607 @default.
• W2900056434 cites W2963627453 @default.
• W2900056434 cites W2963697351 @default.
• W2900056434 cites W2964057329 @default.
• W2900056434 cites W3102476541 @default.
• W2900056434 cites W3120740533 @default.
• W2900056434 cites W3123298421 @default.
• W2900056434 cites W3124367822 @default.
• W2900056434 cites W3145128584 @default.
• W2900056434 cites W3215037115 @default.
• W2900056434 cites W429766147 @default.
• W2900056434 cites W824892955 @default.
• W2900056434 cites W2397571699 @default.
• W2900056434 hasPublicationYear "2018" @default.
• W2900056434 type Work @default.
• W2900056434 sameAs 2900056434 @default.
• W2900056434 citedByCount "0" @default.
• W2900056434 crossrefType "posted-content" @default.
• W2900056434 hasAuthorship W2900056434A5056520559 @default.
• W2900056434 hasAuthorship W2900056434A5076799471 @default.
• W2900056434 hasAuthorship W2900056434A5082581230 @default.
• W2900056434 hasConcept C105795698 @default.
• W2900056434 hasConcept C107673813 @default.
• W2900056434 hasConcept C119857082 @default.
• W2900056434 hasConcept C124101348 @default.
• W2900056434 hasConcept C134261354 @default.
• W2900056434 hasConcept C151730666 @default.
• W2900056434 hasConcept C154945302 @default.

• next