34results about How to "Reduce search space" patented technology

An automatic matching method for ICD surgery and operation codes based on deep learning, using a modular modeling method, each module only completes a relatively simple task, which greatly reduces the search space for model parameters and reduces the required amount of data. This method uses a bidirectional autoregressive language model to model the natural language sequence, uses each operation description and each ICD code to combine, calculates the semantic space weight between them, and uses the semantic space weight to reconstruct the operation description , and finally use the reconstructed surgery description to perform ICD code classification matching to solve the problem of concept splitting. In the calculation, the inherent hierarchical structure of ICD surgery and operation codes is also used for bidirectional autoregressive model modeling, incorporating business prior test knowledge. It solves the problems encountered in clinical practice, and can quickly and accurately perform ICD code matching.

The invention discloses a method and a device for inquiring a path between two figure nodes in a family tree graph. The method comprises the steps of acquiring a family tree graph corresponding to a target family tree and two nodes of a to-be-queried path,wherein the family tree graph at least comprises character nodes and attribute information, and the two nodes comprise an initial node and an end node; searching a first precursor node set corresponding to the initial node and a second precursor node set corresponding to the end node, each precursor node set comprising: at least one precursornode for indicating preset attribute information, the precursor node being used for indicating a travelable next node in the path; when the same precursor nodes exist in the first precursor node setand the second precursor node set, sequentially reading the precursor nodes in the first precursor node set and the second precursor node set to obtain a path node set; and determining the shortest path between the two nodes according to the path node set.

The invention discloses a Web service discovery method based on a probabilistic latent semantic analysis model, wherein the probabilistic latent semantic analysis model is utilized to perform modeling analysis on analyzed Web service descriptive documents, semantic concepts hidden behind service description are dug out for semantic clustering, demand service and service-centralized service are subjected to similarity matching at the relatively advanced concept hierarchy, and in combination with spectral clustering on semantic hierarchy, a service data set is subjected to irrelevant data filtration by a spectral clustering-based algorithm prior to the semantic clustering, thereby compressing the computation complexity. As proved by tests, the method is quite superior in both precision ratio and recall ratio of service discovery.

The invention provides a picture retrieval method, device and electronic equipment, which relate to the technical field of retrieval. If a picture to be retrieved is received, the characteristic information of the picture to be retrieved is extracted; according to the characteristic information of the picture to be retrieved, a Determine the picture information set matching the feature information in the information base; according to the feature information of the picture to be retrieved, from the determined picture information set, filter the similarity with the picture to be retrieved to meet the preset second similarity requirement The image ID of the picture; the retrieval result of the image to be retrieved is obtained through the screened out image ID. The embodiment of the present invention divides the picture identifiers of similar pictures into the same picture information set by pre-constructing the picture information database. The retrieval space is reduced, thereby shortening the retrieval time and improving the quality of retrieval services.

A stamping part instance retrieval method, in order to make full use of the successful experience of the stamping process, from the perspective of process similarity, the nearest neighbor method is used to retrieve the stamping part instance. Specifically, first extract features and constraints between features from the 3D model of the stamping part, and obtain the material thickness, strength and hardness of the material according to the stamping part material information table; then calculate the similarity between the old and new stamping parts from the perspective of process similarity ; The calculation of the similarity of the old and new stamping instances is carried out in two stages: the first stage calculates the similarity of the topological relationship of the stampings based on the plane, filters out dissimilar old instances, and obtains similar old instances to narrow down The retrieval space of the subsequent stage; the second stage obtains a most similar old instance from a batch of old instances obtained in the first stage by comparing the comprehensive similarity of features, constraints and materials between the old and new instances. This method has the advantages of easy implementation, less resource consumption, high computational efficiency, and more accurate and reasonable.