Machine Learning for Financial Engineering:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Singapore
World Scientific
2012
|
| Schriftenreihe: | Advances in computer science and engineering
|
| Schlagwörter: | |
| Beschreibung: | 5.4. Universally Consistent Predictions: Unbounded Y. Print version record |
| Umfang: | 1 online resource (261 pages) |
| ISBN: | 9781848168145 1848168144 |
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| 505 | 8 | |a This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets. Such sequential investment strategies use information collected from the market's past and determine, at the beginning of a trading period, a portfolio; that is, a way to invest the currently available capital among the assets that are available for purchase or investment. The aim is to produce a self-contained text intended for a wide audience, including researchers and graduate students in computer science, finance, statistics, mathematics, and eng | |
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Datensatz im Suchindex
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| author | Gyorfi, Laszlo |
| author_facet | Gyorfi, Laszlo |
| author_role | aut |
| author_sort | Gyorfi, Laszlo |
| author_variant | l g lg |
| building | Verbundindex |
| bvnumber | BV045349640 |
| collection | ZDB-4-ITC |
| contents | This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets. Such sequential investment strategies use information collected from the market's past and determine, at the beginning of a trading period, a portfolio; that is, a way to invest the currently available capital among the assets that are available for purchase or investment. The aim is to produce a self-contained text intended for a wide audience, including researchers and graduate students in computer science, finance, statistics, mathematics, and eng |
| ctrlnum | (ZDB-4-ITC)ocn794328402 (OCoLC)794328402 (DE-599)BVBBV045349640 |
| dewey-full | 006.31 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.31 |
| dewey-search | 006.31 |
| dewey-sort | 16.31 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV045349640 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:24:47Z |
| institution | BVB |
| isbn | 9781848168145 1848168144 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030736294 |
| oclc_num | 794328402 |
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| physical | 1 online resource (261 pages) |
| psigel | ZDB-4-ITC |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | World Scientific |
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| series2 | Advances in computer science and engineering |
| spelling | Gyorfi, Laszlo Verfasser aut Machine Learning for Financial Engineering Singapore World Scientific 2012 1 online resource (261 pages) txt rdacontent c rdamedia cr rdacarrier Advances in computer science and engineering 5.4. Universally Consistent Predictions: Unbounded Y. Print version record This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets. Such sequential investment strategies use information collected from the market's past and determine, at the beginning of a trading period, a portfolio; that is, a way to invest the currently available capital among the assets that are available for purchase or investment. The aim is to produce a self-contained text intended for a wide audience, including researchers and graduate students in computer science, finance, statistics, mathematics, and eng COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Investments / Data processing fast Machine learning fast Financial engineering Data processing Machine learning Investments Data processing Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Financial Engineering (DE-588)4208404-0 gnd rswk-swf Financial Engineering (DE-588)4208404-0 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Ottucsak, Gyorgy Sonstige oth Walk, Harro Sonstige oth Erscheint auch als Druck-Ausgabe Gyorfi, Laszlo Machine Learning for Financial Engineering Singapore : World Scientific, 2012 9781848168138 |
| spellingShingle | Gyorfi, Laszlo Machine Learning for Financial Engineering This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets. Such sequential investment strategies use information collected from the market's past and determine, at the beginning of a trading period, a portfolio; that is, a way to invest the currently available capital among the assets that are available for purchase or investment. The aim is to produce a self-contained text intended for a wide audience, including researchers and graduate students in computer science, finance, statistics, mathematics, and eng COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Investments / Data processing fast Machine learning fast Financial engineering Data processing Machine learning Investments Data processing Maschinelles Lernen (DE-588)4193754-5 gnd Financial Engineering (DE-588)4208404-0 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4208404-0 |
| title | Machine Learning for Financial Engineering |
| title_auth | Machine Learning for Financial Engineering |
| title_exact_search | Machine Learning for Financial Engineering |
| title_full | Machine Learning for Financial Engineering |
| title_fullStr | Machine Learning for Financial Engineering |
| title_full_unstemmed | Machine Learning for Financial Engineering |
| title_short | Machine Learning for Financial Engineering |
| title_sort | machine learning for financial engineering |
| topic | COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Investments / Data processing fast Machine learning fast Financial engineering Data processing Machine learning Investments Data processing Maschinelles Lernen (DE-588)4193754-5 gnd Financial Engineering (DE-588)4208404-0 gnd |
| topic_facet | COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Investments / Data processing Machine learning Financial engineering Data processing Machine learning Investments Data processing Maschinelles Lernen Financial Engineering |
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