نتایج جستجو برای: semi distribution model
تعداد نتایج: 2686363 فیلتر نتایج به سال:
Mediator systems aim to provide an unified global data schema over distributed heterogeneous structured and semi-structured data sources. These systems must deal with limitations on the query capabilities of the sources. This paper introduces a new framework for representing source query capability along with the algorithms needed to compute the query capabilities of the global schema from sour...
Austenite is a semi-stable phase in most stainless steels that deforms to martensite under Md30 and forms martensitetype ά and ε due to the deformation in the steels. Since the distribution of strain induced martensite plays animportant role in achieving desired properties, the main objective of the present work is to model martensitedistribution of ά during cold rolling using...
Using mean-field and semi-classical approximation of Thomas-Fermi, within a statistical model, equation of state and critical properties of symmetric nuclear matter is studied. In this model, two body and phenomenological interaction of Myers and Swiatecki is used in phase space. By performing a functional variation of the total Helmholtz free energy of system with respect to the nucleonic di...
The estimation of ambient particulate matter with diameter less than 10 μm (PM10) at high spatial resolution is currently quite limited in China. In order to make the distribution of PM10 more accessible to relevant departments and scientific research institutions, a semi-physical geographically weighted regression (GWR) model was established in this study to estimate nationwide mass concentrat...
In this paper we apply adaptive modeling methods in Hidden Semi-Markov Model (HSMM) based speech synthesis to the modeling of three different varieties, namely standard Austrian German, one Middle Bavarian (Upper Austria, Bad Goisern), and one South Bavarian (East Tyrol, Innervillgraten) dialect. We investigate different adaptation methods like dialectadaptive training and dialect clustering th...
Reliable semi-supervised learning, where a small amount of labelled data is complemented by a large body of unlabelled data, has been a long-standing goal of the machine learning community. However, while it seems intuitively obvious that unlabelled data can aid the learning process, in practise its performance has often been disappointing. We investigate this by examining generative maximum li...
As part of the efforts put in understanding the intricacies of the k-colorability problem, different distributions over k-colorable graphs were analyzed. While the problem is notoriously hard (not even reasonably approximable) in the worst case, the average case (with respect to such distributions) often turns out to be “easy”. Semi-random models mediate between these two extremes and are more ...
In a causal graphical model, an instrument for a variable X and its effect Y is a ran dom variable that is a cause of X and in dependent of all the causes of Y except X (Pearl 1995). For continuous variables, in strumental variables can be used to estimate how the distribution of an effect will respond to a manipulation of its causes, even in the presence of unmeasured common causes (con fo...
An overview is presented of some parametric and semi-parametric models, estimators, and specification tests that can be used to analyze ordered response variables. In particular, limited dependent variable models that generalize ordered probit are compared to regression models that generalize the linear model. These techniques are then applied to analyze how self-reported satisfaction with hous...
In goal-type ball games, such as handball, basketball, hockey or soccer, teammates and opponents share the same field. They switch dynamically their behaviors and relationships based on other players’ behaviors or intentions. Interactions between players are highly complicated and hard to comprehend, but recent technological developments have enabled us to acquire positions or velocities of the...
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