助手标题
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
共[5]页 共[93]条 当前为第1条到20条
 

相关语句
bayesian learning
The approach can be used to speed up several well-known learning methods such as variational Bayesian learning (ensemble learning) and expectation-maximization algorithm with modest algorithmic modifications.
      
Experimental results show that the proposed method is able to reduce the required convergence time by 60-85% in realistic variational Bayesian learning problems.
      
Bayesian learning leads to correlated equilibria in normal form games
      
We formulate an infinite-horizon Bayesian learning model in which the planner faces a cost from switching actions that does not approach zero as the size of the change vanishes.
      
Bayesian learning and convergence to Nash equilibria without common priors
      
This finding suggests that players did not use sophisticated Bayesian learning to reach the mixed-strategy Nash equilibrium.
      
Bayesian learning in repeated games of incomplete information
      
stage game payoff functions are common knowledge), it is impossible to construct a Bayesian learning theory in which player beliefs are simultaneously weakly cautious, symmetric, and consistent.
      
Mineral Potential Mapping Using Bayesian Learning for Multilayer Perceptrons
      
In contrast to gradient descent methods, Bayesian learning techniques do not find a single weight vector; rather, they infer the posterior distribution of the weights given the data.
      
This paper reports results of applying Bayesian learning techniques to the production of maps representing gold mineralization potential over the Castlemaine region of Victoria, Australia.
      
Real-time brain-computer interfacing: A preliminary study using Bayesian learning
      
The neural networks are trained with a Bayesian learning scheme.
      
In this paper reliability is achieved by Walley's imprecise Dirichlet model, which generalizes Bayesian learning with Dirichlet priors.
      
Quantifying the Community: Using Bayesian Learning Networks to find Structure and Conduct Inference in Invasions Biology
      
Bayesian Learning Networks (BLNs) combine graphical models with multivariate Bayesian statistics to provide an analytical tool for the quantification of communities.
      
Bayesian learning is based on measuring the predictive ability of a model in terms of the corresponding marginal data distribution, which equals the expectation of the likelihood with respect to a prior distribution for model parameters.
      
Here we introduce a novel Bayesian learning method based on the predictive entropy of a probability model, that can combine both subjective and objective probabilistic assessment of uncertain quantities in putative models.
      
In this paper we review SciTegic's methodology for molecular fingerprints, molecular similarity, molecular clustering, maximal common subgraph search and Bayesian learning.
      
Bayesian learning models with revision of evidence
      
 

首页上一页12345下一页尾页 

 
CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社