| 000 | 03083nam a22005775i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-28258-4 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083311.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120209s2012 gw | s |||| 0|eng d | ||
| 020 |
_a9783642282584 _9978-3-642-28258-4 |
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| 024 | 7 |
_a10.1007/978-3-642-28258-4 _2doi |
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| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTJ210.2-211.495 | |
| 072 | 7 |
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_aCOM004000 _2bisacsh |
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| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aSchwenker, Friedhelm. _eeditor. |
|
| 245 | 1 | 0 |
_aPartially Supervised Learning _h[electronic resource] : _bFirst IAPR TC3 Workshop, PSL 2011, Ulm, Germany, September 15-16, 2011, Revised Selected Papers / _cedited by Friedhelm Schwenker, Edmondo Trentin. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012. |
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| 300 |
_aX, 159 p. _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 ; _v7081 |
|
| 520 | _aThis book constitutes thoroughly refereed revised selected papers from the First IAPR TC3 Workshop on Partially Supervised Learning, PSL 2011, held in Ulm, Germany, in September 2011. The 14 papers presented in this volume were carefully reviewed and selected for inclusion in the book, which also includes 3 invited talks. PSL 2011 dealt with methodological issues as well as real-world applications of PSL. The main methodological issues were: combination of supervised and unsupervised learning; diffusion learning; semi-supervised classification, regression, and clustering; learning with deep architectures; active learning; PSL with vague, fuzzy, or uncertain teaching signals; learning, or statistical pattern recognition; and PSL in cognitive systems. Applications of PSL included: image and signal processing; multi-modal information processing; sensor/information fusion; human computer interaction; data mining and Web mining; forensic anthropology; and bioinformatics. | ||
| 650 | 0 | _aComputer science. | |
| 650 | 0 | _aComputer software. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aComputer vision. | |
| 650 | 0 | _aOptical pattern recognition. | |
| 650 | 0 | _aBioinformatics. | |
| 650 | 1 | 4 | _aComputer Science. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 650 | 2 | 4 | _aPattern Recognition. |
| 650 | 2 | 4 | _aImage Processing and Computer Vision. |
| 650 | 2 | 4 | _aInformation Systems Applications (incl. Internet). |
| 650 | 2 | 4 | _aComputational Biology/Bioinformatics. |
| 650 | 2 | 4 | _aAlgorithm Analysis and Problem Complexity. |
| 700 | 1 |
_aTrentin, Edmondo. _eeditor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642282577 |
| 830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v7081 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-28258-4 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-LNC | ||
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