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- Online Inference Description: Online inference is the process of making predictions in real-time as data is received. This approach is fundamental in(...) Read more
- Out-of-Distribution Detection Description: Out-of-distribution (OOD) detection refers to the task of identifying whether a sample comes from the same distribution as the(...) Read more
- Output Vector Description: The output vector in neural networks is a set of values that represent the responses or predictions generated by the network after(...) Read more
- Overlapping Regions Description: Overlapping regions are areas in an image where multiple objects or features coexist, complicating the task of identification and(...) Read more
- Output Layer Activation Description: The activation of the output layer in a neural network is a crucial process that determines how the outputs generated by the(...) Read more
- Orthogonal Regularization Description: Orthogonal regularization is a technique used in the field of neural networks to prevent overfitting, a common problem in training(...) Read more
- Optimal Substructure Description: Optimal substructure is a fundamental property in algorithm theory that refers to the ability of a problem to be broken down into(...) Read more
- Ordinal Classification Description: Ordinal classification is a supervised learning task where the categories assigned to instances have a natural order. Unlike(...) Read more
- Optimal Parameters Description: Optimal parameters in the context of Generative Adversarial Networks (GANs) refer to the ideal set of configurations that minimize(...) Read more
- Observation Space Description: The 'Observation Space' refers to the set of all possible observations that can be made in a given environment. In the context of(...) Read more
- Open Vocabulary Description: Open vocabulary is a fundamental concept in the field of natural language processing (NLP) and large language models. It refers to(...) Read more
- Ontology Alignment Description: Ontology alignment is the process of matching concepts from different ontologies to enable interoperability between systems that(...) Read more
- Open Information Extraction Description: Open Information Extraction (OIE) is an advanced technique in the field of natural language processing (NLP) that allows for the(...) Read more
- Opinion Mining Description: Opinion mining is a sub-discipline of natural language processing (NLP) that focuses on analyzing and extracting subjective(...) Read more
- Overlapping Context Description: The 'Overlapping Context' in natural language processing (NLP) refers to a situation where two or more contexts share common(...) Read more
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