Technology, Science and Universe
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- Statistical Explanation Description: Statistical explanation is an approach that uses statistical methods to describe and analyze the relationship between variables.(...) Read more
- Scenario Planning Description: Scenario planning is a strategic planning method that allows organizations to anticipate and prepare for different possible(...) Read more
- Self-Explanation Description: Self-explanation is an approach within explainable artificial intelligence that allows AI models to provide explanations for their(...) Read more
- Secure Aggregation Description: Secure Aggregation is a method used in federated learning that allows combining model updates from multiple devices or entities(...) Read more
- Synchronous Learning Description: Synchronous learning is an approach within federated learning that allows multiple clients to update their models simultaneously(...) Read more
- Self-Training Description: Self-training is an approach in the field of machine learning where a model is trained using its own predictions as input data.(...) Read more
- Social Learning Description: Social learning is an educational approach that emphasizes the importance of social interactions in the learning process. It is(...) Read more
- Shared Learning Description: Shared learning is a collaborative approach within the framework of federated learning, where multiple clients or devices(...) Read more
- Self-Organizing Systems Description: Self-organizing systems are structures or processes that can organize and adapt autonomously, without the need for external(...) Read more
- Stochastic Description: The term 'stochastic' refers to processes that are determined randomly, incorporating elements of randomness in decision-making. In(...) Read more
- State-Action Pair Description: The 'State-Action Pair' is a fundamental concept in the field of reinforcement learning, referring to the combination of a specific(...) Read more
- Sarsa Description: Sarsa is a reinforcement learning algorithm classified as an on-policy control method. Its name comes from the initials of the(...) Read more
- Sparse Rewards Description: Scarce rewards in the context of reinforcement learning refer to situations where an agent receives rewards infrequently or only(...) Read more
- State Value Function Description: The State Value Function is a fundamental concept in reinforcement learning, referring to a function that estimates the expected(...) Read more
- Suboptimal Policy Description: A suboptimal policy in the context of reinforcement learning refers to a strategy or set of actions that an agent follows, but(...) Read more
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