However, traditional data imputation approaches mainly focus on low‐dimensional missing data, and in addition, they do not make use of the randomness of the missing values and the information of labels simultaneously. To solve these problems, the authors propose a novel data imputation ...
摘要: 课程使用逻辑和离散数学来模拟计算科学。 它为逻辑,集合,关系,函数,自动机,形式语言和可计算性理论提供了基础,提供了几乎所有该学科贡献的实用工具的概念,用于数据的自动存储 墨尔本大学Models of ComputationCOMP30026课程形式逻辑和离散数学为计算机科学提供了理论基础。 本课程使用逻辑和离散数学来模拟计算科学。
This paper proposes a new method for calculating the quaternion discrete Fourier transform for one-dimensional data. Although the computational complexity of the proposed method still belongs to the O (N log 2 N) class, it allows us to reduce the total number of arithm...
Louis P. ParkerEngineering Mechanics, KTH Royal Institute of Technology, Stockholm, SwedenAnders Svensson MarcialDepartment of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm, SwedenTorkel BrismarDepartment of Clinical Science, Intervention and Technology, Karolinska Institute, ...
The reason why evolutionary algorithms may help combat reward tampering is that they are able to find a diverse collection of different solutions to a problem within a single run, aiding the search for desirable solutions. Four different evolutionary algorithms were deployed in tasks illustrating the...
The lump solutions, the interaction between lump wave and solitary wave solutions and kink-solitary wave solutions are derived with symbolic computation based on a logarithmic derivative transform which is derived by the help of Hirota's simple method. The shallow water waves in this equation are ...
At present, the recognition of characters for image processing is based on the technology of image recognition, which can provide a more flexible user experience. However, the dilemma of contactless design lies in the processing and calculation of images, which should reduce the inconvenience caused...
Labels, Information, and Computation: Efficient Learning Using Sufficient LabelsShiyu DuanChang, SpencerPríncipe, José C.Journal of Machine Learning Research
Gaussian Processes with Errors in Variables: Theory and ComputationShuang ZhouPati, DebdeepTianying WangYun YangCarroll, Raymond J.Journal of Machine Learning Research
This technique is implemented in Python using open-source libraries such as SyMPC (SMPC functions), PyDP (DP aggregations), and CrypTen (secure and private training). The paper uses information privacy measures, including mutual information and KL-Divergence, across different priv...