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- Transitional Analysis Description: Transitional analysis is a methodology that focuses on studying changes in the state of a system over time. This approach is(...) Read more
- Total Derivative Description: The total derivative is a fundamental concept in calculus that refers to the rate of change of a function with respect to all its(...) Read more
- Tactical Optimization Description: Tactical optimization refers to the process of improving short-term decisions within a broader strategic framework. This approach(...) Read more
- Temporal Validation Description: Temporal validation is a model validation method based on dividing data according to time. Unlike traditional validation, which may(...) Read more
- Training Framework Description: A training framework is a structured approach or set of tools used to train machine learning models. This framework provides a(...) Read more
- Time-based Evaluation Description: Time-Based Evaluation is an evaluation method that considers the temporal dimension when assessing the performance of a machine(...) Read more
- Transparency of Algorithms Description: Algorithm transparency refers to the degree to which the functioning of algorithms is made clear to users, allowing them to(...) Read more
- Testability Description: Testability in the context of artificial intelligence (AI) refers to the ability to test and validate the performance and decisions(...) Read more
- Training Data Transparency Description: Training data transparency refers to the clarity and accessibility of information about the data used to train artificial(...) Read more
- Theoretical Foundations Description: The theoretical foundations of explainable AI refer to the principles and theories underlying the development and functioning of(...) Read more
- Transparency Metrics Description: Transparency metrics in the explainable AI category are quantitative measures used to assess the clarity and comprehensibility of(...) Read more
- Transparency in Decision Making Description: Transparency in decision-making refers to the clarity and openness about how artificial intelligence (AI) systems arrive at their(...) Read more
- Task Explanation Description: The 'Task Explanation' in the context of explainable AI refers to the ability of an artificial intelligence system to provide clear(...) Read more
- Trust Models Description: Trust Models in the context of Explainable AI are conceptual frameworks that enable the evaluation and construction of trust in(...) Read more
- Transparency in AI Description: Transparency in AI refers to the principle of making artificial intelligence systems understandable and their operations visible to(...) Read more