Local consistency - Local consistency is a family of conditions used in constraint satisfaction to check whether assignments to small groups of variables can be extended...
Local costmap - A local costmap is a spatial representation of the area near a robot that assigns navigation costs to locations.
Local-first software - Local-first software gives the user's local copy of data a primary role, allowing useful work without depending on a remote server for each operation.
Local interpretable model-agnostic explanations - Local Interpretable Model-agnostic Explanations, usually called LIME, is a method for explaining an individual model prediction by fitting a simpler...
Local Laplacian filters - Local Laplacian filters are edge-aware image-processing methods that construct an output Laplacian pyramid using locally centered nonlinear intensity...
Local level model - A local level model represents a time series as noisy observations of an underlying level that changes through a random walk.
Local linear trend model - A local linear trend model is a state-space time-series model with both a changing level and a changing slope.
Local model - In the supplied Aalto dictionary's federated-learning terminology, a local model is the hypothesis space assigned to a particular node of a learning network.
Local outlier factor - Local outlier factor, or LOF, is a method that scores how unusual an observation is relative to the density around its neighbors.
Local regression - Local regression estimates a response curve or surface by fitting simple regressions to neighborhoods of observations.
Local search - Local search is a family of methods that looks for useful solutions by modifying current candidate solutions and evaluating nearby alternatives.
Local tangent space alignment - Local tangent space alignment, or LTSA, is a nonlinear dimensionality-reduction method that estimates local tangent spaces around data points and aligns...
Local tone mapping - Local tone mapping adjusts an image's tonal values using information about each location's surroundings.
Locale (computer hardware) - A locale is an abstraction representing a group of computing and memory resources within a parallel system.
Localist representation - A localist representation assigns a particular concept or item to a dedicated representational unit.
Locality-sensitive hash - A locality-sensitive hash is a hash designed so that similar items are more likely than dissimilar items to receive the same value.
Localization - Localization is the process of estimating a robot's position and orientation relative to a reference frame or environment.
Locally adaptive regression kernel (LARK) - A locally adaptive regression kernel (LARK) is a description of a pixel's neighborhood whose shape adapts to local image structure.
Locally weighted learning - Locally weighted learning makes a prediction by emphasizing training examples relevant to the query being answered.
Locally weighted regression - Locally weighted regression predicts a response by fitting a regression that gives greater influence to observations near the query point.
Location-based recommendation - Location-based recommendation is the selection or ranking of suggested items using geographical context as part of the decision.
Location test - A location test is a statistical hypothesis test about where a distribution is centered.
Locative adverb - A locative adverb is an adverb that expresses where an action or situation occurs or, in a broad spatial use of the term, the direction associated with it.
Locking - In historical automated theorem proving, locking is a restriction on resolution that uses labels on literal occurrences to control which inferences are...
Locks with ordered sharing - Locks with ordered sharing are database concurrency-control mechanisms that permit selected conflicting operations to proceed in a required order while...
Loess - Loess is a local regression method that estimates a smooth relationship by fitting low-degree polynomials to nearby observations.
Log area ratio - A log area ratio, or LAR, is a transformed parameter used in speech-signal modeling and coding, commonly derived from a reflection coefficient.
Log encoding - Log encoding represents image signals with a logarithmic or partly logarithmic transfer function.
Log-Gaussian Cox process - A log-Gaussian Cox process is a model for randomly located events in which the logarithm of an underlying event intensity follows a Gaussian process.
Log likelihood - Log likelihood is the logarithm of a likelihood function, usually using the natural logarithm.
Log likelihood ratio - A log likelihood ratio compares how well two statistical models or hypotheses account for the same observed data by taking the logarithm of their likelihood...
Log-linear models - Log-linear models describe expected counts by making their logarithms linear combinations of parameters.
Log Loss - Log Loss, also called cross-entropy loss, is the standard error measure for probabilistic classifiers: it punishes wrong confident predictions severely...
Log-normal distribution - A log-normal distribution describes a positive random quantity whose logarithm follows a normal distribution.
Log-odds - Log-odds is the logarithm of the odds of an event: a way of stretching probability from its cramped zero-to-one scale onto an open number line where adding...
Log odds ratio - A log odds ratio is the logarithm of the ratio between two odds. It compares the relative odds of the same event in two groups or conditions.
Log probabilities - Log probabilities are logarithms of probabilities.
Log shipping - Log shipping maintains a secondary database by transferring and applying transaction-log information from a primary database.
Log-sum-exp trick - The log-sum-exp trick is a numerically stable way to calculate the logarithm of a sum of exponentials.
Log trigger - A log trigger is a database trigger used to record changes to a table in a separate log or history table.
Logarithm - A logarithm gives the exponent needed to raise a specified base to a positive number. If b raised to y equals x, then log base b of x equals y.
Logarithmic transformation - A logarithmic transformation replaces positive values with their logarithms.
Logic - Logic provides formal ways to express statements and determine what follows from them.
Logic form - A logic form, in the NLP convention covered here, is a structured representation of a sentence using predicates and shared arguments.
Logic learning machine - Logic Learning Machine is a rule-learning approach associated with Marco Muselli's switching neural network work and implemented in the Rulex software.
Logical connectives - Logical connectives are operators that combine or modify statements to form more complex statements.
Logical Data Model - A logical data model describes how information is organized into defined structures, attributes and relationships without specifying the detailed physical...