Sensitive attribute - A sensitive attribute is a characteristic of a person that deserves particular care because of legal, ethical, social, or personal considerations.
Sensitivity analysis - Sensitivity analysis examines how a model's outputs or a decision's conclusions change when inputs, parameters, or assumptions are varied.
Sensitivity study - A sensitivity study investigates how changes in a process's or model's inputs affect selected outputs.
Sensor interface layer - A sensor interface layer is the part of a robotic or other sensing system that receives measurements from sensors and presents them to downstream software...
Sensor Markov assumption - The sensor Markov assumption says that, given the current underlying state, the current observation is independent of earlier states and observations.
Sentence extraction - Sentence extraction is a summarization technique that selects complete sentences from source material and uses them in a shorter output.
Sentence-permutation denoising - Sentence-permutation denoising is a pretraining task that shuffles a document's sentences and trains a model to reconstruct their original order.
Sentence separation - In the supplied sequence-generation context, sentence separation means marking the boundary between a source sequence and its target sequence, commonly with...
Sentiment - In natural language processing, sentiment is an expressed or implied evaluation, commonly described as positive or negative toward a target.
Sentiment analysis - Sentiment analysis is the automated reading of text to judge the attitude it expresses, typically positive, negative or neutral, so that opinion at scale...
Sentinel token for span corruption - A sentinel token for span corruption is a special marker that replaces a removed span of text and links that gap to its reconstruction target.
Separable filter - A separable spatial filter has a multidimensional kernel that can be expressed as a product of lower-dimensional kernels.
Separation test - A separation test is an early-phase statistical decision procedure intended to help decide whether further research is worth pursuing.
Sequence - A sequence is an ordered collection of elements indexed by positions. Elements may repeat, and changing their order can change the sequence.
Sequence analysis in social sciences - Sequence analysis in the social sciences studies ordered histories of states or events to understand how social processes unfold.
Sequence effect - A sequence effect occurs when experiencing one condition influences a person's response to another condition presented later.
Sequence form - Sequence form is a compact representation of an extensive-form game that describes each player's strategy through probabilities associated with sequences of...
Sequence labeling - Sequence labeling assigns a label to each unit in an ordered input sequence, producing an aligned label sequence of the same length at the chosen unit level.
Sequence model - A sequence model represents relationships in ordered data, where the position or history of observations matters to the task.
Sequence-to-sequence (seq2seq) - Sequence-to-sequence, often shortened to seq2seq, describes a model or task that transforms an input sequence into an output sequence.
Sequence-to-sequence task - A sequence-to-sequence task is one where both input and output are ordered sequences: a sentence becomes a translation, a question becomes an answer, a...
Sequential analysis - Sequential analysis is statistical analysis in which accumulating observations can determine whether to continue collecting data or stop according to a...
Sequential decision making - Sequential decision making concerns choosing actions over time when present choices influence future conditions, information, or opportunities.
Sequential exchangeability - Sequential exchangeability is a causal assumption that, at each treatment decision, treatment is independent of the relevant future potential outcomes...
Sequential Feature Selection - Sequential Feature Selection is a family of feature selection methods that build the feature set step by step, adding the most helpful feature each round...
Sequential importance sampling - Sequential importance sampling, or SIS, is a probabilistic inference method that builds candidate sequences incrementally and updates a weight for each...
Sequential minimal optimization - Sequential minimal optimization, or SMO, is an algorithm for training support vector machines by repeatedly solving very small pieces of their quadratic...
Sequential model-based optimization - Sequential model-based optimization, or SMBO, is an approach to optimizing an expensive objective by repeatedly fitting a surrogate model, using it to...
Sequential Monte Carlo - Sequential Monte Carlo, or SMC, is a family of methods that approximates a sequence of probability distributions using weighted random samples, often called...
Sequential pattern mining - Sequential pattern mining discovers recurring ordered patterns within a collection of sequences.
Sequential probability ratio test - The sequential probability ratio test, or SPRT, compares the accumulating likelihood of observations under two specified hypotheses.
Sequential studies - Sequential studies divide an investigation into distinct phases and allow findings from one phase to influence the design or purpose of later phases.
Sequentially ordered organization - Sequentially ordered organization is a file or storage organization in which records follow a defined ordering field or combination of fields.
Sequitur algorithm - Sequitur is an incremental algorithm that discovers repeated structure in a sequence of discrete symbols by building a hierarchical grammar.
Seriation (statistics) - Seriation is the arrangement of objects into an order that reveals structure in their data or relationships.
Seriousness check - A seriousness check asks research participants to report whether they are participating seriously, rather than merely inspecting a study or providing...
Serverless computing - Serverless computing is a service model in which a provider manages the underlying server infrastructure while users deploy application code or use managed...
Service principal - A service principal is a security identity used to represent a service or application when it accesses protected resources.
Serving - Serving is the process of making a trained machine-learning model available to produce predictions for an application or workflow.
Session (web analytics) - A session in web analytics groups a user's recorded interactions with a website or app into a period of activity according to the analytics system's rules.
Set balancing - Set balancing is the problem of dividing a collection of items into two groups so that specified features are distributed as evenly as possible.
Set-cover problem - The set-cover problem asks for a collection of available subsets whose union contains every required element, while minimizing the number of chosen subsets...
Set-level - Set-level is a planning-graph heuristic that estimates the distance to a conjunctive goal by finding the earliest proposition layer where every goal literal...
Set of support - A set of support is a selected group of clauses used to guide resolution-based theorem proving.
Set-oriented approach - A set-oriented approach expresses a data operation in terms of a collection of qualifying records rather than directing application code to handle each...
Set partitioning in hierarchical trees - Set partitioning in hierarchical trees, usually abbreviated SPIHT, is an image-coding method that efficiently describes wavelet-transform coefficients by...