4) Bayesian regularized neural network 贝叶斯规整化神经网络 1. Bayesian regularized neural network prediction model for molecular blood-brain barrier partitioning; 贝叶斯规整化神经网络模型预测化合物分子的血脑屏障通透性5) Bayesian neural networks 贝叶斯神经网络 1. A novel model based on Bayesian ...
Bayesian-regularized genetic neural networks applied to the modeling of non-peptide antagonists for the human luteinizing hormone-releasing hormone receptor. J Mol Graphics Modell 2006;25:410-422.Fernández M, Caballero J (2006) Bayesian-regularized genetic neural networks applied to the modeling of ...
Guntuku SC, Narang P, Hota C (2013) Real-time peer-to-peer botnet detection framework based on bayesian regularized neural network. arXiv preprint arXiv:13077464S. Guntuku, P. Narang, and C. Hota, "Real-time Peer-to-Peer Botnet Detection Framework based on Bayesian Regularized Neural ...
1.Bayesian regularization in combination with Levenberg-Marquardt algorithm has been applied to achieving faster learning speed and well-generalized neural network.将贝叶斯正规化方法与Levenberg-Marquardt优化算法相结合,提高了神经网络训练的效率和推广能力。 3)Bayesian regularized贝叶斯规整化 1.Bayesian regularized...
Real-time Peer-to-Peer Botnet Detection Framework based on Bayesian Regularized Neural Network 来自 arXiv.org 喜欢 0 阅读量: 68 作者:SC Guntuku,P Narang,C Hota 摘要: Over the past decade, the Cyberspace has seen an increasing number of attacks coming from botnets using the Peer-to-Peer (...
The network is trained through Bayesian regularized methods, a mathematical process which converts the regression into a well-behaved, “well-posed” problem. In contrast to MLR and traditional neural networks (NNs), BRBPNN has more performance when the relationship between variables is nonlinear (...
Application of Bayesian Regularized BP Neural Network Model for Trend Analysis, Acidity and Chemical Composition of Precipitation in North Carolina. Water Air Soil Pollut. 2006, 172, 167–184. [Google Scholar] [CrossRef] Levenberg, K. A Method for the Solution of Certain Non-Linear Problems in...
3.3.1 Regularized linear regression 一般的,对于线性模型正则化后的cost function如下: (注意正则化不包括theta0) Lambda的取值应该合适,如果过大(如10^10)将会导致theta都趋于0,所有的特征量没有被学习到,导致欠拟合。后面将会讨论lambda的取值,现在暂时认为在0~10之间。
3.Regularized Kernel Density Estimation Algorithm Based on Sparse Bayesian Regression基于稀疏贝叶斯回归的正则化核密度估计算法 4.Bayesian Networks Construction and Their Applications in Data Mining贝叶斯学习、贝叶斯网络与数据采掘 5.1. Bayesian statistics theory: Expatiate the mathematic principle of Bayesian Net...
Real-time Peer-to-Peer Botnet Detection Framework based on Bayesian Regularized Neural Network Over the past decade, the Cyberspace has seen an increasing number of attacks coming from botnets using the Peer-to-Peer (P2P) architecture. Peer-to-Peer b... SC Guntuku,P Narang,C Hota - 《Compu...