AI terms starting with a number

14 terms

# A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

  • 0/1 loss - The 0/1 loss assigns zero to a correct classification and one to an incorrect classification.
  • 1.58-bit large language model - A 1.58-bit large language model uses ternary weight values, typically -1, 0 and +1, in its low-precision linear computations.
  • (1+ε)-approximate nearest neighbor search - A (1+epsilon)-approximate nearest neighbor search returns a data point whose distance from a query is at most 1+epsilon times the distance of the true...
  • 10-fold cross-validation - 10-fold cross-validation is a model-evaluation procedure that divides a dataset into ten parts, trains a fresh model on nine parts, and evaluates it on the...
  • 2-level designs - Two-level designs are experimental designs in which each studied factor is assigned two specified settings, often called low and high.
  • 3D body scanning - 3D body scanning captures the external shape of a person's body as three-dimensional data, often a point cloud or surface mesh.
  • 3D model - A 3D model is a digital representation of an object's shape or a scene's spatial structure in three dimensions.
  • 3D projection - 3D projection is the mathematical mapping of three-dimensional points or objects onto a two-dimensional surface, such as a screen or image plane.
  • 3D reconstruction from multiple images - 3D reconstruction from multiple images estimates a scene's three-dimensional structure by combining photographs taken from different viewpoints.
  • 3D scanning - 3D scanning is the process of capturing an object's or environment's geometry as three-dimensional measurements.
  • 8-point algorithm - The 8-point algorithm estimates the fundamental matrix relating two camera views from at least eight corresponding image points.
  • 842 (compression algorithm) - 842, also written 8-4-2, is a lossless data-compression scheme that represents data using small templates containing literal bytes and references to...
  • Σ-algebra
  • (Shortest Path) Betweenness - (Shortest Path) Betweenness is a network measure describing how often a node lies between other nodes on shortest paths.
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