Search-based software engineering - Search-based software engineering, or SBSE, applies optimization search to software-engineering problems.
Search cost - Search cost is the resource expenditure involved in finding a solution.
Search engine - A search engine is a system that accepts a query and retrieves relevant items from a collection.
Search game - A search game is a game-theoretic model in which a searcher tries to locate a target while a hider chooses a location or behavior that opposes the...
Search suggest drop-down list - A Search suggest drop-down list is a search-interface feature that displays possible queries, matching items, or other useful choices near the search field...
Search tree - A search tree is a tree-shaped representation of the alternatives explored from an initial search node.
Seasonal adjustment - Seasonal adjustment estimates and removes recurring seasonal effects from a time series so that nonseasonal movements are easier to examine.
Seasonal Autoregressive Integrated Moving-Average - Seasonal Autoregressive Integrated Moving-Average, commonly abbreviated SARIMA, is a time-series model that combines ordinary ARIMA terms with terms...
Seasonal difference - A seasonal difference subtracts an earlier observation from the same position in a seasonal cycle from the current observation.
Seasonal effect - A seasonal effect is a systematic variation associated with a recurring position in the calendar or seasonal cycle.
Seasonal exponential smoothing - Seasonal exponential smoothing is a family of forecasting methods that updates a series' level and seasonal pattern as observations arrive.
Seasonal index - A seasonal index summarizes the estimated contribution of a particular position in a recurring seasonal cycle.
Seasonal subseries plot - A seasonal subseries plot is a time-series display that groups observations by their position within a recurring cycle, while retaining chronological order...
Seasonal variation - Seasonal variation is recurring movement in a time series associated with a known seasonal or calendar period.
Seasonally adjusted annual rate - A seasonally adjusted annual rate, or SAAR, expresses a seasonally adjusted monthly or quarterly flow on an annual scale.
Second normal form (2NF) - Second normal form, abbreviated 2NF, is a relational database design condition.
Second Order Centrality - Second order centrality is a network measure based on the standard deviation of the time between successive visits to a node by a specified random walk.
Secular variation - Secular variation is a relatively slow, sustained change in a quantity over the timescale relevant to a particular field or study.
Security - Security is the protection of systems and information against unauthorized access, use, alteration, disruption, or other harmful interference.
Seed pattern in IE - A seed pattern in information extraction (IE) is an initial rule or template used to find examples of a target relation or category in text.
Seed tuples - Seed tuples are a small initial set of example records used to start an information-extraction or learning process.
Segmentation - In computer vision, segmentation divides an image or related visual representation into regions or assigns labels at a fine spatial level, commonly per pixel.
Selection - Selection in an evolutionary algorithm is the process of choosing individuals from a population for reproduction or survival according to a defined rule.
Selection And Sampling Bias - Selection And Sampling Bias is the combined label used in the Artificial Intelligence Ontology for distortion introduced by a selection process that fails...
Selection bias - Selection bias is distortion in an inference caused by the process determining which observations are included in the analysis.
Selection problem - A selection problem, in the decision-theoretic sense used here, is the task of gathering costly evidence about alternatives before choosing one for use.
Selectional restriction - A selectional restriction is a semantic constraint that a particular predicate sense places on an argument, such as the kind of thing that can fill its...
Selective Adherence Bias - Selective Adherence Bias is the tendency to accept algorithmic advice more readily when it agrees with pre-existing beliefs or stereotypes, while...
Self-attention - Self-attention is a neural-network mechanism that updates representations of positions in a sequence by combining information from positions in that same...
Self-correction - Self-correction is a system's ability to detect problems in its own output and revise it, either within one run through reflection and checking, or across...
Self-healing system - A self-healing system detects certain faults and automatically takes predefined or policy-governed actions to restore acceptable operation.
Self-healing test automation - Self-healing test automation is test software that attempts to recover from certain changes or failures in its execution setup.
Self-management (computer science) - Self-management in computer science is the ability of a computing system to monitor and adjust aspects of its own operation under defined objectives and...
Self-normalized importance sampling - Self-normalized importance sampling estimates an expectation under a target distribution by drawing from a proposal distribution, weighting the draws, and...
Self-selection bias - Self-selection bias occurs when people's decisions to participate, respond or enter a group create systematic differences relevant to the quantity being...
Self-similarity matrix - A self-similarity matrix compares elements of a sequence or collection with other elements of the same sequence or collection.
Self-supervised learning - Self-supervised learning is training where the data itself provides the labels: the model is asked to predict a hidden or rearranged part of the input, so...
Self-training - Self-training is a semi-supervised method where a model trained on a small labeled set labels the unlabeled data itself, then re-trains on its own most...
Self-weighting sample - A self-weighting sample has equal weights, or raising factors, for the estimator under consideration.
SELU Function - The SELU function, short for scaled exponential linear unit, is a neural-network activation function with a scaled linear positive branch and a saturating...
Semantic algorithm - A semantic algorithm is a broad descriptive label for a computational procedure that uses representations of meaning to perform a task.
Semantic ambiguity - Semantic ambiguity occurs when an expression allows more than one interpretation of its meaning.
Semantic analysis (computational) - Semantic analysis in computational language processing is the use of computational methods to represent and interpret meaning in language.
Semantic analytics - Semantic analytics uses representations of meaning, concepts, and relationships to analyze information.
Semantic audio - Semantic audio is the analysis and representation of audio in terms of meaningful content, such as sound events, instruments, musical structure or...
Semantic compression - Semantic compression reduces a representation while aiming to retain meaning relevant to an intended task.
Semantic computing - Semantic computing is a broad field concerned with connecting computational content to its meaning and to users' intentions.