Robot navigation - Robot navigation is the process of guiding a mobile robot through an environment to reach a destination or accomplish a movement task.
Robot tax - A robot tax is a proposed or analyzed tax aimed at automation, robotic capital, or some economic gains associated with replacing human tasks.
Robotic desktop automation - Robotic desktop automation, or RDA, is software that automates tasks on one person's own computer: it watches the desktop, helps with or performs repetitive...
Robotic governance - Robotic governance concerns how people and institutions guide, oversee, and remain accountable for the development and use of robotics, automation, and...
Robotic process automation - Robotic process automation, or RPA, is software that performs repetitive, rule-based digital tasks by mimicking how a person uses applications: clicking...
Robotics - Robotics is the field concerned with designing, building, programming, controlling, and using robots.
Robust AI - Robust AI is AI designed and evaluated to keep functioning acceptably when inputs, operating conditions, or other relevant circumstances vary.
Robust Bayesian analysis - Robust Bayesian analysis studies how Bayesian conclusions change when uncertain modeling inputs are varied.
Robust collaborative filtering - Robust collaborative filtering is the design and evaluation of recommendation methods that remain useful when some user feedback is noisy, unreliable, or...
Robust combination (sigma-clipping) - Sigma-clipping is an iterative rejection procedure that identifies values sufficiently far from an estimated center relative to an estimated spread.
Robust control - Robust control is the design and analysis of controllers that maintain specified behavior despite explicitly modeled uncertainty.
Robust logistic regression - Robust logistic regression refers to extensions of logistic regression designed to reduce sensitivity to specified departures from ordinary modeling...
Robust methods - Robust methods are statistical procedures designed to retain useful performance when specified ideal assumptions are not exactly satisfied.
Robust optimization - Robust optimization is a way to choose decisions that remain feasible, or control worst-case cost, when uncertain inputs vary within a specified uncertainty...
Robust principal component analysis - Robust principal component analysis refers to methods that seek underlying low-dimensional structure while reducing sensitivity to substantial errors or...
Robust regression - Robust regression is a family of methods for estimating relationships while limiting sensitivity to specified departures from modeling assumptions, often...
Robust statistics - Robust statistics studies and develops methods that remain reasonably stable under specified departures from their assumptions.
Robustness - Robustness is the ability of a model or system to maintain acceptable behavior when specified conditions change or disturbances occur.
ROC (receiver operating characteristic) Curve - A receiver operating characteristic curve, or ROC curve, plots a classifier's true-positive rate against its false-positive rate as the decision threshold...
Rocchio algorithm - The Rocchio algorithm is a relevance-feedback method that updates a search query's vector using documents judged relevant and nonrelevant.
Role-filler extraction - Role-filler extraction identifies the text spans or entities that occupy specified roles in an event or situation.
Role prompting - Role prompting asks a generative AI model to respond from a specified role or persona, such as a patient tutor, editor or interviewer.
Rolling-shutter correction - Rolling-shutter correction compensates for geometric distortions caused when different parts of an image are exposed at different times while the camera or...
Root - In tree-based models and tree-structured data, the root is the single starting node at the top, from which every branch, split and leaf descends; in a...
Root finding - Root finding is the task of finding an input at which a function equals zero.
Root mean square - Root mean square, usually abbreviated RMS, is the square root of the average of squared values.
Root-mean-square deviation - Root-mean-square deviation, or RMSD, is the square root of the average squared difference between matched values and a specified reference.
Root Mean Squared Error - Root Mean Squared Error, abbreviated RMSE, is the square root of the average squared difference between predictions and observed reference values.
Rotation bias - Rotation bias is a systematic difference in survey estimates associated with how long sampled units have participated in a rotating panel or with their...
Rotational invariance - Rotational invariance is the property of a function, representation, or prediction remaining unchanged under specified rotations of its input.
ROUGE-L - ROUGE-L is a member of the ROUGE text-evaluation family that compares a candidate with a reference using a longest common subsequence, or LCS.
ROUGE-N - ROUGE-N is a reference-overlap measure that compares a candidate text with a reference using contiguous sequences of N tokens, called n-grams.
ROUGE-S - ROUGE-S is a ROUGE evaluation measure based on matching skip-bigrams between a candidate text and a reference.
Rough fuzzy hybridization - Rough fuzzy hybridization combines ideas from rough-set theory and fuzzy-set theory to represent different kinds of imprecision together.
Round-robin test - A round-robin test is an interlaboratory study in which several participants independently perform measurements, analyses, or a defined process under an...
Round-trip translation - Round-trip translation translates text from one language into another and then translates the result back into the original language.
Round-tripping (computer science) - Round-tripping in computer science means taking information through a transformation and back to its original representation or system, then checking what...
Rounded vowels - Rounded vowels are vowel sounds produced with lip rounding as part of their articulation.
Router agent - A router agent is an agent whose job is to decide where work goes: it reads an incoming request and directs it to the right specialist agent, tool, model or...
Row hammer - Row hammer, commonly written RowHammer, is a DRAM disturbance phenomenon in which repeated activation of memory rows can cause unintended bit changes in...
Rprop - Rprop, short for resilient backpropagation, is an optimization method that adjusts a separate update size for each trainable parameter using changes in the...
RST - RST stands for Rhetorical Structure Theory, a framework for describing how parts of a text relate to one another.
Rubin causal model - The Rubin causal model is a framework for defining and studying causal effects using potential outcomes: the outcomes a unit would have under different...
Rule-based machine learning - Rule-based machine learning uses rules as a central part of a model learned or adapted from data.
Rule-based machine translation - Rule-based machine translation, or RBMT, translates text using explicit linguistic resources such as dictionaries, grammatical descriptions, and...
Rule induction - Rule induction is the process of learning explicit rules from observed examples.
Rules extraction system family - The rules extraction system family, commonly called the RULES family, is a group of related inductive-learning algorithms that derive explicit if-then rules...