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  2. k-nearest neighbors algorithm - Wikipedia

    en.wikipedia.org/wiki/K-nearest_neighbors_algorithm

    Compute the Euclidean or Mahalanobis distance from the query example to the labeled examples. Order the labeled examples by increasing distance. Find a heuristically optimal number k of nearest neighbors, based on RMSE. This is done using cross validation. Calculate an inverse distance weighted average with the k-nearest multivariate neighbors.

  3. Nearest neighbor search - Wikipedia

    en.wikipedia.org/wiki/Nearest_neighbor_search

    Particular examples include vp-tree and BK-tree methods. Using a set of points taken from a 3-dimensional space and put into a BSP tree, and given a query point taken from the same space, a possible solution to the problem of finding the nearest point-cloud point to the query point is given in the following description of an algorithm.

  4. Lazy learning - Wikipedia

    en.wikipedia.org/wiki/Lazy_learning

    In machine learning, lazy learning is a learning method in which generalization of the training data is, in theory, delayed until a query is made to the system, as opposed to eager learning, where the system tries to generalize the training data before receiving queries.

  5. Structured kNN - Wikipedia

    en.wikipedia.org/wiki/Structured_kNN

    Structured k-nearest neighbours (SkNN) [1] [2] [3] is a machine learning algorithm that generalizes k-nearest neighbors (k-NN). k-NN supports binary classification, multiclass classification, and regression, [4] whereas SkNN allows training of a classifier for general structured output.

  6. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    AI programs are designed to simulate human perception and understanding. These systems are capable of adapting to new information and responding to changing situations. Machine learning has been used for various scientific and commercial purposes [ 1 ] including language translation , image recognition , decision-making , [ 2 ] [ 3 ] credit ...

  7. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    [7] [8] In 1933, Lorente de Nó discovered "recurrent, reciprocal connections" by Golgi's method, and proposed that excitatory loops explain certain aspects of the vestibulo-ocular reflex. [ 9 ] [ 10 ] During 1940s, multiple people proposed the existence of feedback in the brain, which was a contrast to the previous understanding of the neural ...

  8. KNN - Wikipedia

    en.wikipedia.org/wiki/KNN

    KNN may refer to: k-nearest neighbors algorithm (k-NN), a method for classifying objects; Nearest neighbor graph (k-NNG), a graph connecting each point to its k nearest neighbors; Kabataan News Network, a Philippine television show made by teens; Khanna railway station, in Khanna, Punjab, India (by Indian Railways code)

  9. Multiclass classification - Wikipedia

    en.wikipedia.org/wiki/Multiclass_classification

    k-nearest neighbors kNN is considered among the oldest non-parametric classification algorithms. To classify an unknown example, the distance from that example to every other training example is measured. The k smallest distances are identified, and the most represented class by these k nearest neighbours is considered the output class label.