نتایج جستجو برای: linear mixture model

تعداد نتایج: 2516495  

2014
Constantinos Daskalakis Gautam Kamath

We provide an algorithm for properly learning mixtures of two single-dimensional Gaussians without any separability assumptions. Given Õ(1/ε) samples from an unknown mixture, our algorithm outputs a mixture that is ε-close in total variation distance, in time Õ(1/ε). Our sample complexity is optimal up to logarithmic factors, and significantly improves upon both Kalai et al. (2010), whose algor...

2013
J. Park K. Smarsly K. H. Law D. Hartmann

15 16 Site-and time-specific wind field characteristics have a significant impact on the 17 structural response and the lifespan of wind turbines. This paper presents a machine 18 learning approach towards analyzing and predicting the response of a wind turbine 19 structure to diurnal and nocturnal wind fields. Machine learning algorithms are applied (i) 20 to better understand the changes of w...

2006

In the theory of preferences underlying utility theory i t is generally assumed that the indifference relation is transitive, and this leads t o equivalence classes of indifferent elements or, equally, t o indifference curves. It has been pointed out that this assumption is contrary to experience and that utility is not perfectly discriminable, as such a theory necessitates. In this paper intra...

2002
DONALD B. RUBIN

A statistical model developed from scientific theory may “fail to fit” the available data if the scientific theory is incorrect or if the sample size is too small. The former point is obvious but the latter is more subtle. In the latter case, the hypothesized model may fail to fit in the sense that it is viewed as unnecessarily complicated, and so the investigators settle upon a simpler model t...

Journal: :medical journal of islamic republic of iran 0
maryam mohammadian-khoshnoud department of biostatistics, school of public health, hamadan university of medical sciences, hamadan, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی همدان (hamadan university of medical sciences) abbas moghimbeigi department of biostatistics, school of public health, modeling of noncommunicable disease research canter, hamadan university of medical sciences, hamadan, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی همدان (hamadan university of medical sciences) javad faradmal department of biostatistics, school of public health, modeling of noncommunicable disease research canter, hamadan university of medical sciences, hamadan, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی همدان (hamadan university of medical sciences) mahnaz yavangi department of gynecology, hamadan university of medical sciences, hamadan, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی همدان (hamadan university of medical sciences)

background: birth weight and gestational age are two important variables in obstetric research. the primary measure of gestational age is based on a mother's recall of her last menstrual period. this recall may cause random or systematic errors. therefore, the objective of this study is to utilize bayesian mixture model in order to identify implausible gestational age.   methods: in this cross-...

2008
Thomas Brendan Murphy T. B. MURPHY

A voting bloc is defined to be a group of voters who have similar voting preferences. The cleavage of the Irish electorate into voting blocs is of interest. Irish elections employ a “single transferable vote” electoral system; under this system voters rank some or all of the electoral candidates in order of preference. These rank votes provide a rich source of preference information from which ...

2008
Ling Feng Andreas Brinch Nielsen Lars Kai Hansen

This paper explores the vocal and non-vocal music classification problem within popular songs. A newly built labeled database covering 147 popular songs is announced. It is designed for classifying signals from 1sec time windows. Features are selected for this particular task, in order to capture both the temporal correlations and the dependencies among the feature dimensions. We systematically...

Journal: :IOP Conference Series: Earth and Environmental Science 2014

Journal: :International Journal of Computer Applications 2012

2012
Baskaran Sankaran Majid Razmara Atefeh Farzindar Wael Khreich Fred Popowich Anoop Sarkar

Statistical Machine Translation (SMT) is currently used in real-time and commercial settings to quickly produce initial translations for a document which can later be edited by a human. The SMT models specialized for one domain often perform poorly when applied to other domains. The typical assumption that both training and testing data are drawn from the same distribution no longer applies. Th...

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