当前位置：
首页 资源下载
搜索资源 - bayesian optimization
搜索资源列表
-
2下载：
贝叶斯优化算法是一种新的演化算法，通过贝叶斯概率统计的知识来学习后代，可是使演化朝有利的方向前进，程序用C实现了贝叶斯优化算法。-Bayesian Optimization Algorithm is a new evolutionary algorithm, through Bayesian probability and statistics to learn the knowledge of future generations, but to enable the evolution to
-
-
0下载：
用L-M 优化算法与贝叶斯正则化算法训练同一个样本,By LM optimization algorithm with Bayesian regularization algorithm for training with a sample
-
-
0下载：
采用贝叶斯正则化算法（抑制过拟合）提高 BP 网络的推广能力，采用两种训练方法，
即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络；-Bayesian regularization algorithm (inhibition of over-fitting) to improve the generalization ability of BP network, using two training methods, that LM opti
-
-
0下载：
采用贝叶斯正则化算法提高bp网络的性能，即L-M优化算法-The use of Bayesian regularization algorithm to improve network performance bp, that is, LM optimization algorithm
-
-
0下载：
采用贝叶斯正则化算法提高BP网络的推广能力。在本例中，将采用两种训练方法，即L-M优化算法（trainlm)和贝叶斯正则化算法（trainbr),用以训练BP网络，使其能够拟合某一附加有白噪声的正弦样本数据。-The use of Bayesian regularization algorithm for BP network to improve generalization ability. In this case, two types of training methods will b
-
-
1下载：
动态贝叶斯网络结构学习算法，用来检验基于BOA的DBN结构寻优体系的合理性与可行性。环境matlab 6.1以上-Dynamic Bayesian network structure learning algorithm, the DBN used to test the structure-based optimization BOA system is reasonable and feasible. Environmental matlab 6.1 or above
-
-
1下载：
采用动量梯度下降算法训练BP网络，采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络-Gradient descent algorithm using momentum BP network training, using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (t
-
-
0下载：
Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms
-
-
0下载：
This code expains bayesian particle swarm optimization method.All files have been written on matlab 2007a. This method has been explianed with various benchmark functions. This optimization method can be directly compared with other unconstrained opt
-
-
1下载：
matlab 贝叶斯推断优化最小二乘支持向量机参数的实例，速度更快-matlab Bayesian least squares support vector machine parameter optimization instance, faster
-
-
0下载：
采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr）-Using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr)
-
-
0下载：
本书以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析Web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从Web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数据子集）、搜索引擎核心技术（爬虫、索引、查询引擎、PageRank算法等）、搜索海量信息并进行分析统计得出结论的优化算法、贝叶斯过滤技术（垃圾邮件过滤、文本过
-
-
0下载：
基于大坝温控的温度预报程序，采用了L-M优化算法和贝叶斯正则化算法，结果良好-Prediction based on the temperature of the dam temperature control program, using the LM optimization algorithm and the Bayesian regularization algorithm, good results
-
-
0下载：
《集体智慧编程》(programming collective intelligence building smart web 2.0 applications)以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数
-
-
0下载：
CVPR2012_oral
Weakly Supervised Structured Output Learning for Semantic Segmentation-We address the problem of weakly supervised semantic
segmentation. The training images are labeled only by the
classes they contain, not by their location in t
-
-
0下载：
Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that adaptively chooses the basis based on the data. Because the basis a
-
-
0下载：
采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正 -Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, namely LM optimization algorithm (trainlm) and Baye
-
-
0下载：
“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。-In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-te
-
-
0下载：
New method of convex optimization in CS
-
-
4下载：
LSTM 作为预测模型，使用贝叶斯优化算法来实现股票预测的功能(LSTM as a prediction model, uses Bayesian optimization algorithm to achieve the function of stock forecasting)
-
