COPYRIGHT YEAR

2009

AUTHORS

Charles Ling

TITLE

From Machine Learning to Child Learning

ABSTRACT

Machine Learning endeavors to make computers learn and improve themselves over time. It is originated from analyzing human learning, and is now maturing as computers can learn more effectively than human for many specific tasks, such as adaptive expert systems and data mining. The effective and fruitful research in machine learning can now be used to improve our thinking and learning, especially for our children. In this talk, I will discuss my efforts in using machine learning (and AI) for child education in Canada and China. In early 2009, I hosted a TV series in a major talk show in China. The impact of such work in China and around the world can be huge.

Related objects

How to use: Click on a object to move its position. Double click to open its homepage. Right click to preview its contents.

Download the RDF metadata as:   json-ld nt turtle xml License info


25 TRIPLES      25 PREDICATES      21 URIs      12 LITERALS

Subject Predicate Object
1 book-chapters:902e5dcb4bdb035b0c3ac2f1ddff9570 sg:abstract Abstract Machine Learning endeavors to make computers learn and improve themselves over time. It is originated from analyzing human learning, and is now maturing as computers can learn more effectively than human for many specific tasks, such as adaptive expert systems and data mining. The effective and fruitful research in machine learning can now be used to improve our thinking and learning, especially for our children. In this talk, I will discuss my efforts in using machine learning (and AI) for child education in Canada and China. In early 2009, I hosted a TV series in a major talk show in China. The impact of such work in China and around the world can be huge.
2 sg:abstractRights OpenAccess
3 sg:bibliographyRights Restricted
4 sg:bodyHtmlRights Restricted
5 sg:bodyPdfRights Restricted
6 sg:copyrightHolder Springer-Verlag Berlin Heidelberg
7 sg:copyrightYear 2009
8 sg:ddsId Chap2
9 sg:doi 10.1007/978-3-642-03348-3_2
10 sg:esmRights OpenAccess
11 sg:hasBook books:f73e88a003486448c225c428a35cca67
12 sg:hasBookEdition book-editions:766db5b4a3e226792268bc5bdb51c2f6
13 sg:hasContributingOrganization grid-institutes:grid.39381.30
14 sg:hasContribution contributions:af1190b937c8accecafd25b7eff05b67
15 sg:language En
16 sg:license http://scigraph.springernature.com/explorer/license/
17 sg:metadataRights OpenAccess
18 sg:pageFirst 2
19 sg:pageLast 2
20 sg:scigraphId 902e5dcb4bdb035b0c3ac2f1ddff9570
21 sg:title From Machine Learning to Child Learning
22 sg:webpage https://link.springer.com/10.1007/978-3-642-03348-3_2
23 rdf:type sg:BookChapter
24 rdfs:label BookChapter: From Machine Learning to Child Learning
25 owl:sameAs http://lod.springer.com/data/bookchapter/978-3-642-03348-3_2
HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular JSON format for linked data.

curl -H 'Accept: application/ld+json' 'http://scigraph.springernature.com/things/book-chapters/902e5dcb4bdb035b0c3ac2f1ddff9570'

N-Triples is a line-based linked data format ideal for batch operations .

curl -H 'Accept: application/n-triples' 'http://scigraph.springernature.com/things/book-chapters/902e5dcb4bdb035b0c3ac2f1ddff9570'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'http://scigraph.springernature.com/things/book-chapters/902e5dcb4bdb035b0c3ac2f1ddff9570'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'http://scigraph.springernature.com/things/book-chapters/902e5dcb4bdb035b0c3ac2f1ddff9570'






Preview window. Press ESC to close (or click here)


...