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- Linear Activation Description: Linear activation is an activation function that produces an output that is directly proportional to the input. Mathematically, it(...) Read more
- Layer-wise Learning Description: Layer-wise learning is a training approach in neural networks where each layer of the network is trained sequentially, allowing the(...) Read more
- Latent Variable Model Description: A latent variable model is a statistical model that relates observed variables to unobserved variables, known as latent variables.(...) Read more
- Learning Rate Decay Description: The 'Learning Rate Decay' is a technique used in the training of machine learning models, especially in the context of deep(...) Read more
- Learning Vector Quantization Description: Learning Vector Quantization is an unsupervised learning method based on the idea of classifying input data by comparing it to a(...) Read more
- LDA Description: Latent Dirichlet Allocation (LDA) is a generative statistical model used in the field of unsupervised learning, particularly for(...) Read more
- Laplacian Graph Description: The Laplacian graph is a mathematical representation that captures the connectivity of data points in a multidimensional space,(...) Read more
- Lattice-Based Clustering Description: Lattice-Based Clustering is an unsupervised learning approach that organizes data points based on their structural relationships(...) Read more
- Local Clustering Description: Local clustering is an unsupervised learning approach that focuses on grouping data points that are close to each other in the(...) Read more
- Lattice Structures Description: Lattice structures are mathematical representations that allow modeling and analyzing relationships between different data points,(...) Read more
- Label Distribution Learning Description: Label Distribution Learning is an approach within supervised learning that focuses on predicting the distribution of labels rather(...) Read more
- Laplacian Regularization Description: Laplacian regularization is a technique used in the field of machine learning to prevent overfitting in models, especially those(...) Read more
- Language Model Description: A language model is a statistical system designed to predict the probability of a sequence of words in a language. These models(...) Read more
- Lexicon Description: Lexicon refers to a collection of words and their meanings, and it is fundamental in the field of natural language processing(...) Read more
- Language Identification Description: Language identification is the task of automatically determining the language of a given text. This process is fundamental in the(...) Read more
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