6 results about "Inference" patented technology

A system for prioritizing search results retrieved is described. One embodiment includes an inference, classification, and indexing subsystem configured to assign a local ranking to each occurrence of each data artifact in a collection of data artifacts obtained from on-line data objects, the local ranking assigned to each occurrence of each data artifact indicating a level of importance of that data artifact compared to other data artifacts obtained from the same on-line data object, the collection of data artifacts being indexed and organized by subject in at least one data structure, all data artifacts associated with a non-unique subject being associated with a single subject entry in the at least one data structure; and a search subsystem configured to assign, in response to the computerized search query, a global ranking to each data artifact in a set of data artifacts retrieved as search results from the collection of data artifacts, the global ranking of each data artifact in the set of data artifacts indicating a level of importance of that data artifact compared to the other data artifacts of like kind in the set of data artifacts, the global ranking of each data artifact in the set of data artifacts being based at least in part on the local rankings of the occurrences of that data artifact; prioritize the search results in accordance with the global rankings of the data artifacts in the set of data artifacts, the data artifacts of a given kind being grouped and arranged in descending order of global ranking; and present at least a portion of the prioritized search results to a user.

The invention belongs to the technical field of wireless communication, and particularly relates to a channel estimation algorithm for a multi-user massive MIMO (Multiple Input Multiple Output) system under a frequency division duplex (FDD) mode. In the multi-user massive MIMO system, channel estimation is realized by a sparse signal recovering technology through an inference method based on Bayes compressed sensing, and channel estimation overhead of the FDD massive MIMO system can be lowered greatly.

The invention provides a Bayesian network-based combat effectiveness evaluation method of the surveillance unmanned aerial vehicles. The method comprises three parts of establishing an effectiveness evaluation index system, establishing a Bayesian network effectiveness evaluation model and performing the Bayesian network reasoning. By analyzing a combat system structure and a basic combat process,utilizing an entropy weight method to screen an efficiency evaluation index set, and constructing an index system for the combat efficiency evaluation of the surveillance unmanned aerial vehicles, the index system is simpler and more reasonable; a Monte Carlo algorithm is used for parameter learning of the Bayesian network, so that a conditional probability table is determined, the trouble of manually inputting the conditional probability table is avoided, and the efficiency is greatly improved; and the accurate inference of the Bayesian network is carried out by utilizing a cluster tree propagation algorithm, so that the reasoning time is saved, and the reasoning accuracy is improved.

The invention discloses a method for navigation plan intelligent programming and risk prediction. The method comprises the following steps of firstly performing 24-hour inference, obtaining in-future24-hour ship entering and outgoing plane through a network, intelligently programming a navigation plan; predicating an in-future navigation position of a ship; evaluating risks such as collision risk, obstruction offset, ship density, ship width and overlimit, and finally displaying a risk condition according to an electronic sea chart system. The method provided by the invention has advantages of optimizing harbor ship navigation plan programming and traffic organization operation, improving navigation plan management operation efficiency and level, deeply developing navigation potential ofa combined navigation channel, improving traffic organization efficiency of the combined navigation channel and navigation resource utilization rate, and effectively supporting harbor production.