000 | 02955nam a22005775i 4500 | ||
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001 | 978-3-319-46379-7 | ||
003 | DE-He213 | ||
005 | 20200421111207.0 | ||
007 | cr nn 008mamaa | ||
008 | 160920s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319463797 _9978-3-319-46379-7 |
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024 | 7 |
_a10.1007/978-3-319-46379-7 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTJ210.2-211.495 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
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_aCOM004000 _2bisacsh |
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082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aAlgorithmic Learning Theory _h[electronic resource] : _b27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings / _cedited by Ronald Ortner, Hans Ulrich Simon, Sandra Zilles. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
300 |
_aXIX, 371 p. 21 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v9925 |
|
505 | 0 | _aError bounds, sample compression schemes -- Statistical learning, theory, evolvability -- Exact and interactive learning -- Complexity of teaching models -- Inductive inference -- Online learning -- Bandits and reinforcement learning -- Clustering. | |
520 | _aThis book constitutes the refereed proceedings of the 27th International Conference on Algorithmic Learning Theory, ALT 2016, held in Bari, Italy, in October 2016, co-located with the 19th International Conference on Discovery Science, DS 2016. The 24 regular papers presented in this volume were carefully reviewed and selected from 45 submissions. In addition the book contains 5 abstracts of invited talks. The papers are organized in topical sections named: error bounds, sample compression schemes; statistical learning, theory, evolvability; exact and interactive learning; complexity of teaching models; inductive inference; online learning; bandits and reinforcement learning; and clustering. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputers. | |
650 | 0 | _aData mining. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aPattern recognition. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aTheory of Computation. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aPattern Recognition. |
700 | 1 |
_aOrtner, Ronald. _eeditor. |
|
700 | 1 |
_aSimon, Hans Ulrich. _eeditor. |
|
700 | 1 |
_aZilles, Sandra. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319463780 |
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v9925 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-46379-7 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-LNC | ||
942 | _cEBK | ||
999 |
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