102results about How to "Narrow down the selection" patented technology

The embodiment of the invention provides a setting method of a desktop pendant and a mobile terminal. The method includes receiving a first input from a user to a target application icon; displaying adesktop pendant collection of target applications corresponding to the target application icon in response to the first input; receiving a second input from a user to a target desktop pendant in theset of desktop pendants; in response to the second input, adding the target desktop pendant to the desktop of the mobile terminal. In the embodiment of the invention, the desktop pendant set of an application program is separately displayed to narrow the selection range of the user, so that a user can quickly select the required desktop pendant for setting, and the setting efficiency is improved.At the same time, because of narrowing and defining the scope of user selection, the method enables the user to more accurately select the required desktop pendant, and reduces the occurrence of misoperation.

The invention provides a deeply differential privacy protection method based on a generative adversarial network. The deeply differential privacy protection method is adopted to solve the problem that attackers use own coding and other methods for restoring training set data when a deep learning model is in use, and by adopting the deeply differential privacy protection method, the purpose of protecting users' privacy in a training dataset is achieved. The method includes the steps that according to the potential dataset scale of the input training dataset, a sensitivity degree and the maximum attacker attacking probability are queried to calculate an upper bound of privacy budgets; during deep network parameter optimizing calculation, a differential privacy thought is integrated, noise data is added, on the basis of the characteristic that differential privacy and Gaussian distribution can be combined, the privacy budget of each layer of a deep network is calculated, and during stochastic gradient descent calculation, Gaussian noise is added to make the overall privacy budget minimum; the generative adversarial network is adopted to generate optimal results which the attackers can get, by comparing attack results with initial data, feedback regulation is conducted on parameters of a deeply differential privacy model, and the balance between dataset availability and privacy protection degrees is achieved.

The invention discloses a business analysis model arrangement method and device, equipment and a storage medium, relates to the technical field of computers, and is used for reducing time consumption in a model arrangement process and improving model arrangement efficiency. In the method, after a first business operator is added in a model arrangement area, at least one recommended business operator is displayed in an operator recommendation area. In this way, a user can check a plurality of business operators with relatively high operator matching degree with the first business operator through the operator recommendation area, therefore, the user can select from the service operators, the selection range of the service operators is reduced, the user is assisted to quickly select the service operators, the time consumption in the model arrangement process is reduced, and the model arrangement efficiency is improved.