000 | 02829nam a22004815i 4500 | ||
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001 | 978-3-642-28696-4 | ||
003 | DE-He213 | ||
005 | 20200420220226.0 | ||
007 | cr nn 008mamaa | ||
008 | 120726s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642286964 _9978-3-642-28696-4 |
||
024 | 7 |
_a10.1007/978-3-642-28696-4 _2doi |
|
050 | 4 | _aTA1-2040 | |
072 | 7 |
_aTBC _2bicssc |
|
072 | 7 |
_aTEC000000 _2bisacsh |
|
082 | 0 | 4 |
_a620 _223 |
245 | 1 | 0 |
_aAdvances in Intelligent Signal Processing and Data Mining _h[electronic resource] : _bTheory and Applications / _cedited by Petia Georgieva, Lyudmila Mihaylova, Lakhmi C Jain. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
|
300 |
_aXIV, 354 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 |
||
490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v410 |
|
505 | 0 | _aFrom the content: Introduction to Intelligent Signal Processing and Data Mining -- Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning -- A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter -- Sequential Monte Carlo Methods for Localisation inWireless Networks -- A Sequential Monte Carlo Approach for Brain Source Localization. | |
520 | _aThe book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis. The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms. . | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aEngineering, general. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aGeorgieva, Petia. _eeditor. |
|
700 | 1 |
_aMihaylova, Lyudmila. _eeditor. |
|
700 | 1 |
_aJain, Lakhmi C. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642286957 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v410 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-28696-4 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c52179 _d52179 |