A semantic network or net is a graph structure for representing knowledge in patterns of interconnected nodes and arcs. Computer implementations of semantic networks were first developed for artificial intelligence and machine translation, but earlier versions have long been used in philosophy, psychology...
The architecture might be implemented in wafer-scale integration technology.Delgado-Frias, J.G.Moore, W.R.Institute of Electric and Electronic EngineerTools for Artificial Intelligence, 1989. Architectures, Languages and Algorithms: IEEE International Workshop on Tools for Artificial Intelligence, 1989. ...
A semantic network is a knowledge structure that depicts how concepts are related to one another and how they interconnect. Semantic networks use artificial intelligence (AI) programming to mine data, connect concepts and call attention to relationships. In business, this capability provides better pro...
Computer implementations of semantic networks were first developed for artificial intelligence and machine translation, but earlier versions have long been used in philosophy, psychology, and linguistics. Sowa gives a descriptive outline on the types and use of semantic networks in different disciplines ...
Surface defect detection is an important part of the process of product quality control in the industry. Automatic detection of surface defects based on ma... Y Meng,H Xu,JHD Ma - Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solvi...
Artificial IntelligenceModelsStatisticalModern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology ... B Schölkopf,K Tsuda,J Vert - MIT Press 被引量: 1245发表: 2004年 Immunological Bioinformatics Immunology, Computer simulation, Machine lea...
Living with CLASSIC : When and How to Use a KL-ONE-Like Language Appears in Principles of Semantic Networks : Explorations in the "Living with classic: When and how to use a KL-ONE- like language," Principles of Semantic Networks: Explorations in the representation of knowledge, pp... RJ...
Artificial Intelligence (AI), particularly generative AI and machine learning, has become a priority for businesses due to its ability to interpret data and enable smarter operations by leveraging large language models (LLMs) in critical applications and systems. However, these data-human interactions...
Agent Encapsulated Bayesian Networks—DRAFT ✩ We call this the oracular assumption, where one agent is an expert or more knowledgeable of particular variables. As a result, the agents are organized in a publisher- subscriber hierarchy. We compare and contrast our system with the... LAMVB Scot...
Unsupervised online hashing methods analyze the relationship between sample data, such as dimensionality reduction and the utilization of self-organizing mapping networks. Conversely, supervised online hashing methods often leverage label information to improve retrieval accuracy and mitigate the semantic gap ...