Classical planning - Classical planning is the task of finding actions that transform a known initial state into a state satisfying a goal, under a simplified model with...
Classification - Classification is the task of assigning items to predefined categories, such as sorting emails into spam or not spam, using patterns learned from labeled...
Classification model - A classification model is a model that sorts items into predefined categories, such as spam or not spam, by learning the patterns that separate the classes...
Classification threshold - A classification threshold is the cut-off that turns a model's probability score into a decision, such as flagging every customer scored 0.7 or higher as a...
Classification with rejection - Classification with rejection allows a classifier to abstain from assigning a class to selected inputs.
Classifier chains - Classifier chains are a method for multi-label classification in which several classifiers are linked in an order.
Classifier-free guidance - Classifier-free guidance is a diffusion-generation technique that combines conditional and unconditional model predictions to strengthen the influence of a...
Classifier guidance - Classifier guidance is a technique for steering diffusion-model generation using gradients from a separate classifier.
Classifier head - A classifier head is the part of a neural model that converts learned representations into scores for a classification task.
Clause - A clause, in the logic used by many symbolic AI systems, is a disjunction of literals: statements joined by logical OR, where each statement is an atom or...
Clefts - Clefts are sentence constructions that present a message in a divided structure, commonly highlighting one constituent against a supporting clause.
CLEVER score - The CLEVER score is a statistical measure intended to estimate a neural classifier's local robustness to adversarial input changes.
Client-Server Architecture - Client-server architecture organizes software into components that request services and components that provide them.
Client-side persistent data - Client-side persistent data are information saved on a user's device so that an application can use them beyond the current in-memory session.
Clifford's method - Clifford's method is a median-based procedure for calculating robust control limits for an individuals control chart.
Clinical trial - A clinical trial is a research study that prospectively assigns people, or groups of people, to one or more health-related interventions to evaluate their...
Clipped double-Q learning - Clipped double-Q learning uses the smaller of two action-value estimates when constructing a learning target.
Clipping - Clipping limits values to a chosen range, replacing anything above a maximum or below a minimum with the boundary value, and is used in AI to keep numbers...
Clitic - A clitic is a linguistic element that depends on a neighboring host for its pronunciation while contributing grammatical information.
Close-ended question - A close-ended question is a question that asks respondents to choose from a defined set of answers rather than compose an unrestricted response.
Closed class - A closed class is a grammatical word category whose membership is relatively stable and does not readily expand through ordinary creation of new words.
Closed-form matting - Closed-form matting is an image-matting method that estimates foreground opacity by constructing and solving a quadratic optimization problem under local...
Closed-loop - Closed-loop describes a system in which information about the system's behavior feeds back into decisions that influence its subsequent behavior.
Closed-world assumption - The closed-world assumption is a reasoning convention that treats relevant facts not established by the knowledge base as false.
Closeness - Closeness, or closeness centrality, measures how near a node is to other nodes in a graph according to shortest-path distances.
Closure, stop - A stop closure is the interval during production of a stop consonant when the relevant articulators form a complete obstruction in the vocal tract.
Cloud analytics - Cloud analytics is the use of cloud-based computing and data services to examine data and produce insights, reports or analytical models.
Cloud-based integration - Cloud-based integration connects applications, data and processes using capabilities hosted in a cloud environment.
Cloud computing - Cloud computing provides computing resources as network-accessible services that users can obtain and release on demand.
Cloud computing architecture - Cloud computing architecture is the arrangement of components, responsibilities and connections that delivers a cloud-based system.
Cloud computing security - Cloud computing security is the protection of cloud-hosted systems, data and services against unauthorized access, misuse, disruption and unintended exposure.
Cloud database - A cloud database is a database deployed using cloud computing resources.
Cloud-native computing - Cloud-native computing is an approach to building and operating systems that takes advantage of automated, dynamic computing environments.
Cloud resource elasticity - Cloud resource elasticity is the ability to expand and release computing resources as demand changes.
Cloud robotics - Cloud robotics uses network-accessible computation, data, or services to support robots and automation systems.
Cloud testing - Cloud testing is the use of cloud resources to support software testing, or the testing of systems deployed in cloud environments.
Cloudlet - A cloudlet is a small-scale computing environment placed near mobile devices or other data sources so it can provide nearby processing and storage.
Cloze task - A cloze task asks a person or model to supply missing material in a text using the available context.
Cluster assumption - The cluster assumption is a semi-supervised learning assumption that examples within the same meaningful high-density cluster tend to share a class.
Cluster centroid - A cluster centroid is a representative center used to summarize a cluster of data points.
Cluster hypothesis - The cluster hypothesis in information retrieval is the idea that documents that are closely associated tend to be relevant to the same information needs.
Cluster labeling - Cluster labeling is the process of assigning a human-readable description to a group of similar items.
Cluster-randomized controlled trial - A cluster-randomized controlled trial assigns groups, rather than individual people, at random to intervention or comparison conditions.
Cluster Sampling - Cluster sampling is a probability-sampling approach that selects groups of population units, such as branches, schools, or geographic areas.
Cluster-weighted modeling - Cluster-weighted modeling is a probabilistic approach that represents the joint distribution of inputs and outputs as a mixture of local models.
Clustered federated learning - Clustered federated learning is an approach to collaborative machine learning that groups clients with compatible learning needs and trains models for those...
Clustered file system - A clustered file system allows multiple computers in a coordinated cluster to access a shared file-system namespace while managing concurrent access and...
Clusterer - A clusterer is a model or algorithm that groups items by similarity, so that items in the same group are more alike each other than items in other groups...