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- Variational Inference Description: Variational inference is a method in Bayesian statistics that seeks to approximate complex probability densities through(...) Read more
- Virtual Agents Description: Virtual agents are artificial intelligence systems designed to interact with users and provide assistance. These agents can(...) Read more
- Visual Recognition Description: Visual recognition is the ability of a computer system to identify and classify objects, places, people, and actions in images.(...) Read more
- Vector Machine Description: The Support Vector Machine (SVM) is a supervised learning algorithm used for classification and regression tasks. Its main goal is(...) Read more
- Video Analytics Description: Video analysis is the process of examining audiovisual content to extract meaningful information, patterns, and trends. This(...) Read more
- Visual Data Mining Description: Visual data mining is the process of analyzing data through visual representation to discover patterns and insights. This technique(...) Read more
- Vision-Based Navigation Description: Vision-Based Navigation is a navigation method that uses visual inputs to guide the movement of a system, whether it be a robot, an(...) Read more
- Vocal Biometrics Description: Voice biometrics is a technology that uses unique characteristics of the human voice to identify or verify a person's identity.(...) Read more
- Visual Computing Description: Visual computing refers to the study and application of computer algorithms that analyze and synthesize visual information. This(...) Read more
- Vocal Recognition Description: Voice recognition is the ability of a system to identify and process vocal inputs, transforming speech into text or commands that(...) Read more
- Vivid Visualization Description: Vivid visualization refers to the use of graphical representations to enhance the understanding of complex data. This approach(...) Read more
- VAE (Variational Autoencoder) Description: The Variational Autoencoder (VAE) is a type of neural network used for unsupervised learning, designed to encode data into a(...) Read more
- Voting Description: Voting is an ensemble method that combines the predictions of multiple models to improve accuracy. This approach is based on the(...) Read more
- Variable Importance Description: The 'Importance of Variable' in the context of supervised learning refers to a measure that indicates how much each feature or(...) Read more
- Vector Space Model Description: The vector space model is a fundamental technique in natural language processing (NLP) that allows representing text documents as(...) Read more
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