搜索结果: 1-15 共查到“计算机科学技术 Bayesian”相关记录25条 . 查询时间(0.156 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Bayesian Approach to Determining the Orientation of Sound-soft Obstacles with Phaseless Data via Wasserstein Distance
Wasserstein距离 贝叶斯方法 无相数据 软声障碍物
2023/4/27
We present a Bayesian approach to inverse scattering problems of reconstructing the rotation angle in clockwise direction of an acoustically sound-soft obstacle from phaseless far-field data in two di...
Learning the Structure of Bayesian Networks with Constraint Satisfaction
Bayesian networks Constraint satisfaction Constraint-based Structure learning
2014/12/18
A Bayesian network is graphical representation of the probabilistic relationships among set of variables and can be used to encode expert knowledge about uncertain domains. The structure of this model...
A Nonparametric Bayesian Approach to Acoustic Model Discovery
A Nonparametric Bayesian Approach Acoustic Model Discovery
2014/11/27
We investigate the problem of acoustic modeling in which prior language-specific knowledge and transcribed data are unavailable. We present an unsupervised model that simultaneously segments the speec...
A Markov Model of Machine Translation using Non-parametric Bayesian Inference
Markov Model Machine Translation Non-parametric Bayesian Inference
2014/3/20
Most modern machine translation systems use phrase pairs as translation units, allowing for accurate modelling of phraseinternal translation and reordering. However phrase-based approaches are much le...
An Infinite Hierarchical Bayesian Model of Phrasal Translation
An Infinite Hierarchical Bayesian Model Phrasal Translation
2014/3/20
Modern phrase-based machine translation systems make extensive use of wordbased translation models for inducing alignments from parallel corpora. This is problematic, as the systems are incapable of a...
A Study on Forecasting System of Patent Registration Based on Bayesian Network
Bayesian Network Patent Registration Tree Augmented NBN Forecast
2013/1/28
Recently the importance of intellectual property has been increased. There has been various ways of research on analy- sis of companies, forecast of technology and so on through patents and many inves...
Bayesian Mixture Models for Frequent Itemset Discovery
Bayesian Mixture Models Frequent Itemset Discovery
2012/11/26
In binary-transaction data-mining, traditional frequent itemset mining often produces results which are not straightforward to interpret. To overcome this problem, probability models are often used to...
Bayesian and Non-Bayesian Estimation of the Inverse Weibull Model Based on Generalized Order Statistics
Inverse Weibull Distribution Generalized Order Statistics Record Values Progressive Type-II Censored Balanced Type Loss Function Bootstrap Estimation
2013/1/28
The concept of generalized order statistics has been introduced as a unified approach to a variety of models of ordered random variables with different interpretations. In this paper, we develop metho...
Bayesian Inference and Prediction of Burr Type XII Distribution for Progressive First Failure Censored Sampling
Burr Type XII Distribution Progressive First-Failure Censored Sample Bayesian Estimations Gibbs Sampling Markov Chain Monte Carlo Posterior Predictive Density
2013/1/28
This paper deals with Bayesian inference and prediction problems of the Burr type XII distribution based on progressive first failure censored data. We consider the Bayesian inference under a squared ...
LEARNING BAYESIAN DEPENDENCE MODEL FOR STUDENT MODELLING
Bayes network structure learning student modelling
2010/1/11
Learning a Bayesian network from a numeric set of data is a challenging
task because of dual nature of learning process: initial need to learn network
structure, and then to find out the distributio...
A NOVEL TWO-TIER BAYESIAN BASED METHOD FOR HAIR SEGMENTATION
Hair Segmentation Two-tier Bayesian Model GMM Gaussian Model Mean Shift
2013/7/16
In this paper, a novel two-tier Bayesian based method is proposed for hair segmentation. In the first tier, we construct a Bayesian model by integrating hair occurrence prior probabilities (HOPP) with...
Multi-task learning is the problem of maxi-mizing the performance of a system across a number of related tasks. When applied to mul-tiple domains for the same task, it is similar to domain adaptation,...
Bayesian网知识推理在ITS学习推荐中的应用研究
知识推理 智能教学系统 相似度
2009/7/24
提出了一种基于Bayesian网的知识推理网络和知识推理算法，该算法利用Bayesian知识推理网和Bayesian概率公式，从现有学习资源库和教学方法库中推荐出最符合学生特征的k种学习资源和k种教学方法，从而实现ITS的智能学习推荐功能。
基于Bayesian的相关反馈在医学图像检索中的应用
相关反馈 移动查询点 贝叶斯最小错误率
2009/7/21
前期的研究表明，代表纹理特征的灰度共生矩阵在胸片图像检索中发挥了比较好的检索效果，相关反馈能够很好地实现人机交互，有效地提高检索效率。进一步研究了两种移动查询点的反馈方法在提高检索效率的特点，首先基于分块的纹理进行检索，然后利用Rocchio方法和基于贝叶斯最小错误率的反馈方法进行多次反馈检索。实验证明，基于贝叶斯最小错误率理论的反馈方法能更好地缩小“语意鸿沟”，提高检索效率。