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- This paper studies algebraic modeling of discrete time series. 摘要主要研究离散时间序列上的代数模型。
- A Bayesian network for overtraining was constructed under this system. 重点讨论了系统的网络数字化、网络学习、网络推理等关键问题。
- Discrete time survival analysis was used to estimate depressive events risk. 生存分离率用于分析抑郁症发病风险。
- Discrete time signal(sinusoid) must satisfy N*Ts = qT to be perioic . 一个连续的正弦周期信号，抽样产生的离散信号不一定还是周期信号。
- It supports continuous time, discrete time, and line and unline system. 所以它特别适用于对电子系统进行计算机仿真。
- Markov network is an undirected graph, while Bayesian network is a directed acyclic graph. Markov网是一个无向图 ;而 Bayesian网是一个有向无环图 .
- Bayesian network approaches have become an important research direction in Data Mining. 贝叶斯 (Bayesian)网络近年成为数据采掘引人注目的研究方向。
- Presented an efficient hybrid heuristic SGS-EM-PACOB algorithm for learning Bayesian network with mi-ssing values. 建立了具有数据缺失训练集下学习贝叶斯网的一种混合启发方法:SGS-EM-PACOB算法。
- Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field. 贝叶斯网络是目前不确定知识和推理领域最有效的理论模型之一。
- Firstly, an initial Bayesian network structure is set up by using expert knowledge. 首先利用专家知识建立初始贝叶斯网络结构和参数；
- The data is first decomposed using the dyadic discrete time wavelet transform with the ＂fitrous＂ algorithm. 该文引入小波变换模极大值重建方法去除信号中的运动伪迹。
- A method of reliability evaluation for HVDC systems based on Bayesian network is proposed in this paper. 该文提出了将贝叶斯网络应用于高压直流系统可靠性评估的方法。
- At present the Bayesian networks is applied widely in each field. 摘要目前贝叶斯网络在各种领域得到了广泛的应用。
- Considering the ruin problems under the discrete time insurance risk model with interest, we proof the surplus is Markov chain. 本文讨论了固定利率下的离散风险模型,首先证明了资产盈余构成一个齐次马尔科夫链,并给出了其转移概率。
- DPD is an off-lattice mesoscopic simulation technique which involves a set of particles moving in continuous space and discrete time. DPD 是非格子模型介观模拟技术，囊括粒子群在连续的空间和间断的时间中运动。
- Zhang, N. and Poole, D. (1996). Exploiting causal independence in Bayesian network inference. Journal of Artificial Intelligence Research 5: 301?328. 在贝叶斯网络推论中探寻因果独立性〉《人工智能学报》5:301?328.
- Based on the method of minimum prediction error control, a multiple model adaptive controller( MMAC) for discrete time is presented. 基于最小预测误差控制器设计方法,设计离散时间系统多模型自适应控制器,并引入“局部化”方法。
- On the basis of feeder partitioning and combining with failure-mode-and-effect analysis (FEMA) a Bayesian network was constituted. 在进行馈线分区的基础上,结合区域故障模式影响分析(Failure-Mode-and-Effect Analysis,FMEA)构成贝叶斯网络。
- Introduction the Fourier series, Convolution,Laplace transform, Z-transform, Discrete time and fast Fourier transform, Adaptive filter,digital filter. 介绍傅立叶,拉式,Z转换之数学运算,同时应用于离散与计算快速傅立叶转换,而此数学运算使用时数位滤波器之应用
- BAN,i. e. BN augmented Na?ve-Bayes,is an augmented Bayesian network classifier,whose accuracy is easy to improve by the Boosting technique. BAN(BN augmented Na?ve-Bayes)是一种增强的贝叶斯网络分类器;通过提升很容易提高其分类性能.
