Technology, Science and Universe
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- Siblings Description: In the context of version control and software development, the term 'Siblings' refers to branches that share a common ancestor.(...) Read more
- Structured Prediction Description: Structured prediction is a type of prediction task in the field of artificial intelligence and machine learning, where the output(...) Read more
- Simulated annealing Description: Simulated annealing is a probabilistic technique used to find the global minimum of a given function, especially in the context of(...) Read more
- Sequential Decision Making Description: Sequential Decision Making is a process in which each decision made influences future decisions, creating a chain of interdependent(...) Read more
- Symbolic AI Description: Symbolic AI is an approach to artificial intelligence that uses symbols to represent problems and logic to solve them. This(...) Read more
- Spatial Data Analysis Description: Spatial data analysis involves techniques for analyzing spatial data and understanding the relationships and patterns within it.(...) Read more
- Speech Recognition Description: Speech recognition is the ability of a machine to identify and process human speech into written format. This technology allows(...) Read more
- Software Agent Description: A software agent is a computer program designed to act on behalf of a user or another program, making decisions and performing(...) Read more
- Self-Supervised Learning Description: Self-supervised learning is an approach within machine learning that allows models to learn from unlabeled data by generating their(...) Read more
- SVM Description: SVM, short for Support Vector Machine, is a supervised learning model primarily used for classification and regression. Its goal is(...) Read more
- Softmax Description: Softmax is a mathematical function that transforms a vector of real numbers into a vector of probabilities, where each value is in(...) Read more
- Similarity Learning Description: Similarity Learning is an approach within machine learning that focuses on learning a function that measures the similarity between(...) Read more
- Supervised Feature Selection Description: Supervised feature selection is a fundamental process in machine learning that involves identifying and selecting a subset of(...) Read more
- Sequential Learning Description: Sequential learning is an approach within machine learning where models are trained using data presented in a temporal sequence.(...) Read more
- Supervised Learning Algorithm Description: A supervised learning algorithm is a method within the field of machine learning that uses labeled data to learn how to map inputs(...) Read more
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