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Page 773 of Mathematical Reviews Vol. 17, Issue Index [page]

Mathematical Reviews  
On the stability of Bayes estimators for Gaussian processes. 85m:62197 Merakos, Lasaros (with Kazakos, Dimitri) Comments and corrections to: “New convergence bounds for Bayes estimators” [IEEE Trans.  ...  Conditions for the existence of empirical Bayes estimates and optimization of Bol’shev bounds. (Russian) 85g:62019 Khan, A. H. (with Parvez, S.; Yaqub, Mohd.)  ... 

Clustering with Bregman Divergences [chapter]

Arindam Banerjee, Srujana Merugu, Inderjit Dhillon, Joydeep Ghosh
2004 Proceedings of the 2004 SIAM International Conference on Data Mining  
This result enables the development of an alternative interpretation of an efficient EM scheme for learning mixtures of exponential family distributions, and leads to a simple soft clustering algorithm  ...  This is achieved by first posing the hard clustering problem in terms of minimizing the loss in Bregman information, a quantity motivated by rate distortion theory, and then deriving an iterative algorithm  ...  Acknowledgments We would like to thank Peter Grünwald and an anonymous referee for their constructive comments that greatly improved the presentation of the paper.  ... 
doi:10.1137/1.9781611972740.22 dblp:conf/sdm/BanerjeeMDG04 fatcat:ecvq7oqngzf7ziyjkyxrnlgjp4

Page 609 of Mathematical Reviews Vol. 17, Issue Index [page]

Mathematical Reviews  
(Boris Pavlov) 85j:35146 35P25 (35J10) Merakos, Lasaros (with Kazakos, Dimitri) Comments and corrections to: “New convergence bounds for Bayes estimators” [IEEE Trans. Inform.  ...  H.; Wolkowicz, Henry) Bounds for ratios of eigenvalues using traces. Linear Algebra Appl. 55 (1983), 105-124.  ... 

Crawler [chapter]

Kenneth A. Ross, Christian S. Jensen, Richard Snodgrass, Curtis E. Dyreson, Christian S. Jensen, Richard Snodgrass, Spiros Skiadopoulos, Cristina Sirangelo, Mary Lynette Larsgaard, Gösta Grahne, Daniel Kifer, Hans-Arno Jacobsen (+106 others)
2009 Encyclopedia of Database Systems  
As a result, it is common (at the time of writing) for data accesses to RAM to require several hundred CPU cycles to resolve.  ...  Historical Background Between 1980 and 2005, processing speeds improved by roughly four orders of magnitude, while memory speeds improved by less than a single order of magnitude.  ...  P 0 (A) are estimated using the Bayesian correction (i.e., PðAÞ ¼ jW \Ajþa jW jþak ).  ... 
doi:10.1007/978-0-387-39940-9_2315 fatcat:x4qspjdytvhvroc7h753dihp7u

Statistical Inference for MCARMA Processes

Sebastian Florian Werner Kimmig
2016
We then restrain ourselves to the special case of univariate CARMA processes and use an indirect estimation procedure similar to the one proposed by de Luna and Genton [2001] for ARMA processes.  ...  To overcome this we have to estimate this map by an additional simulation study. Coupling both estimators gives a robust estimator for the CARMA process.  ...  As before, the correct scaling of the variance of the gradient to obtain convergence is by a factor n, as the following lemma shows: Proof.  ... 
doi:10.5445/ir/1000058197 fatcat:3echzxkyaraldlyvfqadrnm3pa

Gait sensing on smartphones to support mobile exercise applications and games

Oliver Stirling Schneider
2012
In the first application area, real-time cadence estimation, our algorithm (Robust Real-time Algorithm for Cadence Estimation, or RRACE) uses a frequency- domain analysis to perform well without training  ...  Accelerometers have been used to some effect to detect step count and walking cadence (step rate), and even to classify activity (distinguishing walking from cycling, for example), but require a known  ...  and irregular as they want, while at high speeds step interval is bounded by subject's physique.  ... 
doi:10.14288/1.0052125 fatcat:opgykgpquzhwdhizpbuxtzs63y