• In mathematics, a Relevance Vector Machine (RVM) is a machine learning technique that uses Bayesian inference to obtain parsimonious solutions for regression...
    4 KB (363 words) - 20:27, 16 February 2022
  • In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms...
    64 KB (9,013 words) - 13:35, 26 August 2024
  • A vector database, vector store or vector search engine is a database that can store vectors (fixed-length lists of numbers) along with other data items...
    20 KB (1,510 words) - 21:56, 1 September 2024
  • decision trees, k-nearest neighbors, naive Bayes, support vector machines and extreme learning machines to address multi-class classification problems. These...
    12 KB (1,471 words) - 07:30, 5 August 2024
  • recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent some object. Many algorithms in machine learning...
    9 KB (1,016 words) - 16:43, 10 June 2024
  • gating mechanism to input or forget certain features, but lacks a context vector or output gate, resulting in fewer parameters than LSTM. GRU's performance...
    8 KB (1,280 words) - 22:21, 6 July 2024
  • Thumbnail for Attention (machine learning)
    encoding-decoding. In machine translation, the seq2seq model, as it was proposed in 2014, would encode an input text into a fixed-length vector, which would then...
    42 KB (4,315 words) - 18:36, 15 September 2024
  • Thumbnail for Transformer (deep learning architecture)
    numerical representations called tokens, and each token is converted into a vector via looking up from a word embedding table. At each layer, each token is...
    97 KB (12,094 words) - 06:32, 17 September 2024
  • representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be...
    29 KB (3,141 words) - 14:56, 31 July 2024
  • Thumbnail for Supervised learning
    Supervised learning (SL) is a paradigm in machine learning where input objects (for example, a vector of predictor variables) and a desired output value...
    22 KB (3,012 words) - 13:16, 11 August 2024