000			01929cam a2200433 i 4500
001			18631946
003			BD-DhUL
005			20210303153218.0
008			150526s2015 enka b 001 0 eng
010			_a 2015304696
020			_a9781439828694 (hbk)
035			_a(OCoLC)ocn902837893
040			_aCRCPR _beng _cCRCPR _erda _dBTCTA _dYDXCP _dOCLCO _dOCLCF _dOCLCQ _dTXI _dDLC _dBD-DhUL
042			_alccopycat
050	0	0	_aTA342 _b.R57 2015
082	0	0	_a511.8 _bRIS
100	1		_aRish, Irina.
245	1	0	_aSparse modeling : _btheory, algorithms, and applications / _cIrina Rish, Genady Ya. Grabarnik.
264			_aBoca Raton : _bCRC Press, _c2015.
264		4	_c©2015
300			_axviii, 231 p. : _bill. (some col.) ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
365			_b64.99 _aGBP
490	0		_aChapman & Hall/CRC machine learning & pattern recognition series.
504			_aIncludes bibliographical references and index.
505	0		_a1. Introduction -- 2. Sparse recovery : problem formulations -- 3. Theoretical results (deterministic part) -- 4. Theoretical results (probabilistic part) -- 5. Algorithms for sparse recovery problems -- 6. Beyond LASSO : structured sparsity -- 7. Beyond LASSO : other loss functions -- 8. Sparse graphical models -- 9. Sparse matrix factorization : dictionary learning and beyond.
530			_aAlso available in electronic format.
650		0	_aMathematical models.
650		0	_aSampling (Statistics).
650		0	_aSparse matrices.
700	1		_aGrabarnik, Genady Ya. _ejt. aut.
776	0	8	_iElectronic version: _z9781439828700
830		0	_aChapman & Hall/CRC machine learning & pattern recognition series.
942			_2ddc _cBK
955			_brl09 2015-11-30 z-processor _irl09 2015-12-08 ; to Dewey
955			_brl09 2015-05-26 z-processor _arl09 2015-05-26 to SMA
999			_c253789 _d253789