Recent advances in data science are opening up new research fields and broadening the range of applications of stochastic dynamical systems. Considering the complexities in real-world systems (e.g., noisy data sets and high dimensionality) and challenges in mathematical foundation of machine learning,...
Computational Statistics and Data Analysis, 42, 569-593.T.M. Beasley and B.D. Zumbo, Comparison of aligned Friedman rank and parametric methods for ... TM Beasley,BD Zumbo - 《Social Science Electronic Publishing》 被引量: 86发表: 2003年 Knowledge-based design of space–time transmit code ...
展开 关键词: Statistics - Methodology Computer Science - Learning Computer Science - Social and Information Networks Physics - Data Analysis Statistics and Probability Statistics - Machine Learning DOI: 10.48550/arXiv.1311.1731 被引量: 116 年份: 2013 收藏...
We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with...
We consider the generation of stochastic data under constraints where the constraints can be expressed in terms of different parameter sets. Obviously, the constraints and the generated data must remain the same over each parameter set. Otherwise, the parameters and/or the generated data would be ...
This paper describes an experimental and numerical investigation on the co-combustion of propane with pulverized coal, pine shells, and textile wastes. Mea... YE T. H.,J Azevedo,M Costa,... - 《Combustion Science & Technology》 被引量: 35发表: 2004年 Mechanical Alignment of Prolate Cosmic...
In the past decades, we have witnessed the development of complex network science [33,34,35], which is utilized to present complex systems such as climate dynamics [36] and human language [37]. Meanwhile, it is regarded as a newly advanced tool for time series analysis, such as for univa...
The payoff function from (101) could be computationally implemented after all required parameters which are explained on Table 1 and these parameters are determined by actual data gathering. The practical real-world case (i.e., nightclub) shall be introduced on the next section. Although the payo...
In each epoch, the data is shuffled, and batches are created to update the model parameters using SGD. Compute the Gradient and Update the parameters (Step 4) gradient_w = -2 * np.dot(X_batch.T, (y_batch - np.dot(X_batch, self.weights) - self.bias)) / self.batch_size ...
Modern game theory was defined in 1944 by von Neumann and Morgenstern [58]. The particularity of game theory is given by the very wide and provable applicability in a variety of fields, such as social sciences, economy, biology, control systems, computer science and engineering. Game theory ha...