demodetect

对于给定的贝叶斯网络和数据，寻找最可能的决策。 (Find the most likely decision given a Bayesian belief network and data )

Artifact reduction using fuzzy logic

采用正交线性回归适应数据，利用数理统计中的回归分析，来确定两种或两种以上变量间相互依赖的定量关系的一种统计分析方法之一，(Orthogonal linear regression fit the data, the use of mathematical statistics in the regression analysis to determine two or more interdependent quantitative relationships between the variables of a statistical analysis methods,)

optimization energy hub planning

对隧道交通建立数学模型，并用matlab求解，得到该模型下隧道的最大车流量。(A mathematical model for tunnel traffic and use matlab to solve, to get the maximum traffic tunnel model.)

关于PNG文件格式的分析,不是很详细,但是中文版的..如果要更好的,请找英文版式(on PNG file format, is not very detailed, but the Chinese version of .. if better, Please find English-)

orbital code satellite info

My package is all about counting chicken eggs in a tray using camera, from image processing to GUI, it supports presenting the present result, past result, and total result

说明：  高斯过程(GP)模型中推理和预测的实现。它实现了在《Rasmussen & Williams:机器学习的高斯过程》(麻省理工学院出版社，2006)和《Nickisch & Rasmussen:二进制高斯过程分类的近似》(JMLR, 2008)中讨论的算法。该函数的优点在于灵活性、简单性和可扩展性。该函数具有一定的灵活性，首先通过定义均值函数和协方差函数来确定遗传算法的性质。其次，它允许指定不同的推理过程，如精确推理和期望传播(EP)。第三，它允许指定似然函数，如高斯函数或拉普拉斯函数(用于回归)和累积逻辑函数(用于分类)。简单性是通过一个简单的函数和紧凑的代码实现的。可扩展性是通过模块化设计来保证的，允许为已经相当广泛的推理方法、均值函数、协方差函数和似然函数库轻松添加扩展。(Gaussian Processes for Machine Learning , the MIT press, 2006 and Nickisch & Rasmussen: Approximations for Binary Gaussian Process Classification , JMLR, 2008. The strength of the function lies in its flexibility, simplicity and extensibility. The function is flexible as firstly it allows specification of the properties of the GP through definition of mean function and covariance functions. Secondly, it allows specification of different inference procedures, such as e.g. exact inference and Expectation Propagation (EP). Thirdly it allows specification of likelihood functions e.g. Gaussian or Laplace (for regression) and e.g. cumulative Logistic (for classification). Simplicity is achieved through a single function and compact code.)

卡尔曼程序,用matlab实现,很有用的(Kalman procedures, using matlab to achieve, very useful)