نتایج جستجو برای: probabilistic logistic time

تعداد نتایج: 2028191  

2007
Kenneth Baclawski

Combining independent observations is commonly performed by using a least squares technique, as it is thought that this is necessary to achieve an optimal solution. The purpose of this article is to show that this is not always the case. The particular example combines observations that are exponentially distributed. One application of this technique is to determine the time of a singular event...

Journal: :Fluctuation and Noise Letters 2021

In this paper, we deal with the non-autonomous logistic growth model time-dependent intrinsic rate and carrying capacity. Accounting for errors in recorded data, randomness is incorporated into equation by assuming that input parameters are random variables. The uncertainty of output quantified approximations first probability density function via variable transformation method. A numerical exa...

2008
Johann Eder Horst Pichler Amirreza Tahamtan

Temporal conformance of web service compositions guarantees the timely execution of service calls, decreases follow-up costs and increases QoS by avoiding deadline violations. Since it is impossible to make certain statements about the execution intervals of upcoming web service executions mainly due to varying activity durations and hardto-predict branching behavior we propose a probabilistic ...

Journal: :Computers & Mathematics with Applications 1998

Journal: :The International Journal of Robotics Research 2018

1998
Milos Zefran Vijay Kumar

This paper investigates methods for computing a smooth motion that interpolates a given set of positions and orientations of a rigid body. To make the interpolation independent of the representation of the motion, we use the coordinate-free framework of differential geometry. Inertial and body-fixed reference frames must be chosen to describe the position and orientation of the rigid body. We s...

2014
Igor Szöke Miroslav Skácel Lukás Burget

The primary system we submitted was composed of 11 subsystems as the required run. 3 subsystems are based on Acoustic Keyword Spotting (AKWS) and 8 on Dynamic Time Warping (DTW). The AKWS systems were based only on phoneme posteriors while the DTW subsystems were based on both phoneme posteriors and Bottle-Neck features (BN) as input. The underlying phoneme posterior estimators / bottle-neck fe...

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