Fixed model Anova - Fixed model Anova refers to analysis of variance in which the factor levels are treated as fixed effects: the analysis concerns the particular levels...
Fixed point - A fixed point of a mapping is an input that the mapping leaves unchanged. If the mapping is T, a value x* is a fixed point when T(x*) = x*.
Fixed-point characterization - A fixed-point characterization expresses the solutions of a problem as exactly the points left unchanged by a suitable mapping.
Fixed-point computation - Fixed-point computation is the task of finding a value x such that applying a specified mapping G leaves it unchanged: G(x) = x.
Fixed-point equation - A fixed-point equation is an equation of the form x = T(x), where T maps an allowed space into itself. A solution is a value left unchanged by the mapping.
Fixed-point iteration - Fixed-point iteration is a numerical procedure that repeatedly applies a mapping to its current estimate: x_(k+1) = T(x_k).
Fixed-point solving - Fixed-point solving is the task of finding a value x such that applying a given function returns the same value: T(x) = x.
Fixed sample - A fixed sample, in the repeated-survey sense used here, consists of the same selected units observed on successive occasions.
Fixed variable - A fixed variable, in the experimental-design sense used here, is an independent variable whose particular levels are specified by the researcher.
Flap (phonetic) - A flap is a consonant produced with a very brief articulatory contact rather than a sustained closure or repeated vibration.
Flash Attention - FlashAttention is an efficient way to compute attention in neural networks by reducing data movement between different levels of GPU memory.
Flash / no-flash photography - Flash / no-flash photography uses a pair of images of the same scene, one captured with flash and one using ambient light, to support a combined or improved...
Flat pseudospectral method - The flat pseudospectral method combines differential flatness with pseudospectral numerical optimization to plan trajectories for suitable controlled systems.
Flatten (An Array) - To flatten an array is to rearrange its elements into a one-dimensional representation according to a defined traversal order.
Flattening transformation - The flattening transformation is a compiler technique that converts nested data-parallel computations into flat data-parallel operations while preserving...
Fligner-Killeen test - The Fligner-Killeen test is a rank-based procedure used to investigate whether independent groups have a common population spread, commonly described as a...
Flow-based clustering - Flow-based clustering groups records by how they move through sequences or networks, clustering journeys rather than snapshots: customers by the paths they...
Flow-based disjoint paths - Flow-based disjoint paths are routes between a source and destination found by translating a path-separation requirement into a network-flow problem.
Flow-based generative model - A flow-based generative model represents a complex probability distribution by transforming a simpler distribution through reversible mappings.
Flow-based Minimum Cuts - Flow-based minimum cuts are graph partitions found using a maximum-flow calculation.
Flow-based programming - Flow-based programming is a programming approach that defines an application as a network of asynchronous processes exchanging structured information...
Flow matching - Flow matching is a generative-model training framework that learns a time-dependent vector field for transporting a simple starting distribution toward a...
Flow sampling - Flow sampling, in duration analysis, selects units through transitions occurring during a defined time interval.
Flow series - A flow series is a time series whose observations measure activity over specified periods, rather than a quantity at a single instant.
Fluency - Fluency, in natural language generation and translation evaluation, is the degree to which output reads or sounds natural, clear, and well formed in the...
Fluent - A fluent is a property or quantity whose truth or value can vary between situations or over time in an action model.
Fluid Communities - Fluid Communities is a graph community-detection algorithm that divides a network into a chosen number of groups.
Fly algorithm - The Fly algorithm is an evolutionary optimization approach in which many simple candidate components cooperate to represent a solution.
FM-index - An FM-index is a compressed full-text index developed by Paolo Ferragina and Giovanni Manzini.
FMLLR - FMLLR, usually written fMLLR, stands for feature-space maximum likelihood linear regression.
Focal stacking - Focal stacking, commonly called focus stacking, combines photographs taken at different focus settings into a composite with a greater range of apparently...
Focus groups - Focus groups are moderated discussions in which a small group of participants explores a defined topic through questions, responses and interaction with one...
Focus of expansion - The focus of expansion is the image location from which motion vectors appear to spread outward when a camera translates toward a stationary scene without...
Focus peaking - Focus peaking is a camera or display aid that highlights image edges judged likely to be in focus.
Focused information criterion - The focused information criterion, or FIC, selects a statistical model with attention to a particular quantity the analyst wants to estimate.
Folksonomy - A folksonomy is an organization of information that emerges when people apply their own tags to shared objects such as articles, photographs or web resources.
Force control - Force control regulates the force or torque a machine applies while interacting with an object or its environment.
Forecast attainment - Forecast attainment is an operational comparison of an actual outcome with the forecast prepared for that outcome.
Forecast bias - Forecast bias is a systematic tendency for predictions to be too high or too low relative to the quantity they are intended to forecast.
Forecast horizon - A forecast horizon is the distance from the forecast's information cutoff or origin to the future period being predicted.
Forecast skill - Forecast skill describes how well a forecasting system predicts compared with a specified reference or benchmark, under a defined evaluation method.
Forecasting - Forecasting is the process of estimating future outcomes using information available at the time the forecast is made.
Foreign key - A foreign key is a database constraint that links values in one table to an eligible unique key in a referenced table.
Forensics - Forensics is the systematic examination of evidence to investigate what happened and support justified conclusions.
Foreshortening - Foreshortening is the apparent reduction of a length or surface dimension when it is viewed at an angle.
Forget gate - A forget gate is the mechanism inside an LSTM network that decides what to erase from its memory: how much of each remembered thing to keep at every step.
Fork - join model - The fork - join model is a way to organize parallel work by splitting a computation into concurrent parts and later waiting for those parts to finish before...
Forking paths problem - The forking paths problem arises when analytical choices depend on the observed data, but the final statistical result is interpreted as though the entire...