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- Smart Grids Description: Smart grids are electricity supply systems that integrate advanced communication and control technologies, using artificial(...) Read more
- Smart Logistics Description: Smart logistics refers to the use of artificial intelligence (AI) and advanced technologies to optimize supply chain and logistics(...) Read more
- Semantic Search Description: Semantic search is an advanced AI-driven search technique that focuses on understanding the intent and contextual meaning behind(...) Read more
- Smart Data Description: Smart data refers to information that has been processed and enhanced through artificial intelligence (AI) techniques to provide(...) Read more
- Smart Search Description: Smart search is an AI-enhanced search functionality that provides more relevant results based on user behavior. This technology(...) Read more
- Smart Text Description: Smart text refers to textual content that is generated or modified using artificial intelligence (AI) with the aim of enhancing(...) Read more
- Search Space Description: The 'Search Space' in the context of hyperparameter optimization refers to the set of all possible combinations of hyperparameters(...) Read more
- Stochastic Optimization Description: Stochastic optimization is an approach that incorporates randomness into the process of searching for optimal solutions in complex(...) Read more
- Sequential Model Optimization Description: Sequential model optimization is a strategy that seeks to improve the performance of predictive models by optimizing(...) Read more
- Saturation Point Description: The 'Saturation Point' in the context of hyperparameter optimization refers to the specific value of a hyperparameter at which any(...) Read more
- Sparsity Inducing Description: Sparsity induction is a technique used in the field of machine learning and hyperparameter optimization that aims to reduce model(...) Read more
- Smoothing Parameter Description: The smoothing parameter is a crucial hyperparameter in the field of machine learning and statistics that controls the degree of(...) Read more
- Subspace Method Description: The Subspace Method is an approach that optimizes hyperparameters in a reduced-dimensional space. This method is based on the idea(...) Read more
- Sparsity Constraint Description: Sparsity constraint is a technique used in hyperparameter optimization that imposes limitations on the values that certain(...) Read more
- Spherical Coordinate System Description: The spherical coordinate system is a method of representing points in three-dimensional space using three parameters: radial(...) Read more