نتایج جستجو برای: joint probability

تعداد نتایج: 401452  

Journal: :The Journal of bone and joint surgery. British volume 1964
C CARTER J WILKINSON

This paper reports an investigation of the incidence of persistent generalised joint laxity in patients with congenital dislocation of the hip and in normal school children. Capsular laxity has attracted much attention in studies of the etiology of congenital dislocation of the hip joint. At first it was thought to be an isolated result of mechanical stretching. but it is now usually considered...

2003
Mohamed Faouzi BenZeghiba Hervé Bourlard

This paper investigates an approach that maximizes the joint posterior probability of the pronounced word and the speaker identity given the observed data. This probability can be expressed as a product of the posterior probability of the pronounced word estimated through an artificial neural network (ANN), and the likelihood of the data estimated through a Gaussian mixture model (GMM). We show...

Journal: :EURASIP J. Wireless Comm. and Networking 2007
Olabisi Emmanuel Falowo H. Anthony Chan

The coexistence of different cellular networks in the same area necessitates joint radio resource management for enhanced QoS provisioning and efficient radio resource utilization. We propose adaptive bandwidth management and joint call admission control (JCAC) scheme for heterogeneous cellular networks. The objectives of the proposed adaptive JCAC scheme are to enhance average system utilizati...

Journal: :Advanced Materials Letters 2022

Multi object optimization in material selection involves the satisfaction of optimizing multi attributes simultaneously, which analogically corresponds to simultaneous appearance event viewpoint probability theory, thus – becomes assessment “joint probability” these attribute problem. Furthermore, preferential degree candidate is reflected by concept probability, and a quantitative approach for...

2014
Frances E Buderman Duane R Diefenbach Mary Jo Casalena Christopher S Rosenberry Bret D Wallingford

The Brownie tag-recovery model is useful for estimating harvest rates but assumes all tagged individuals survive to the first hunting season; otherwise, mortality between time of tagging and the hunting season will cause the Brownie estimator to be negatively biased. Alternatively, fitting animals with radio transmitters can be used to accurately estimate harvest rate but may be more costly. We...

2014
Chia-Ming Tsai Yuwen He Jie Dong Yan Ye Xiaoyu Xiu Yong He

Scalable video coding provides an efficient solution to support video playback on heterogeneous devices with various channel conditions in heterogeneous networks. SHVC is the latest scalable video coding standard based on the HEVC standard. To improve enhancement layer coding efficiency, inter-layer prediction including texture and motion information generated from the base layer is used for en...

Sufficient number of linear and noisy measurements for exact and approximate sparsity pattern/support set recovery in the high dimensional setting is derived. Although this problem as been addressed in the recent literature, there is still considerable gaps between those results and the exact limits of the perfect support set recovery. To reduce this gap, in this paper, the sufficient con...

2006
Amir Saemi Vahid Meghdadi Jean-Pierre Cances Mohammad Reza Zahabi Jean-Michel Dumas

This paper addresses Maximum-Likelihood (ML) time synchronization algorithm joint with channel estimation for MIMO-OFDM systems in frequency selective fading channels. For this purpose a SISO joint Maximum likelihood (ML) synchronization algorithm with channel estimation is extended and generalised to MIMO systems. Timing failure probability is presented as a criterion to illustrate the robustn...

2005
Heping Pan Daniel McMichael

Bayesian networks provide a powerful intelligent information fusion architecture for modeling probabilistic and causal patterns involving multiple random variables. This paper advances a computable theory of learning discrete Bayesian networks from data. The theory is based on the MAP-MDL principles for maximizing the joint probability or interchangeably miniziming the joint description length ...

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