3,135 articles
Track-before-detect
Track-before-detect (TBD) is a radar and sonar signal processing approach that detects and tracks weak targets by running the tracker on raw sensor data, deciding detection after integrating over many frames.
Training data curation
Training data curation is the collection, cleaning, filtering, deduplication, and organization of machine learning training data, chiefly from Common Crawl for LLMs; pipelines, compute-dependent filtering, bias limits, and 2026-2032 data supply projections distinguish it.
Training-serving skew
Training-serving skew: the gap between features a model trained on and the features served in production, caused by duplicated preprocessing logic. Silent failure; fixed by feature stores, parity tests, point-in-time joins.
Training, validation, and test data sets
In supervised machine learning, training, validation, and test data sets are three disjoint subsets used to fit a model, tune it, and evaluate it on unseen data.
Trajectory inference
Trajectory inference is a family of computational methods that reconstructs dynamic cell-state transitions, such as differentiation or disease progression, from static single-cell RNA sequencing snapshots by ordering cells along pseudotime.
Trajectory optimization
Trajectory optimization is a numerical method that computes the best state and control sequence for a dynamical system, minimizing cost while satisfying dynamics and constraints.
Transact-SQL
Transact-SQL, or T-SQL, is Microsoft's and Sybase's proprietary extension of SQL, developed by Sybase and carried into Microsoft SQL Server from 1989, adding variables, control-of-flow keywords, transactions, and stored procedures to standard SQL.
Transaction Processing Performance Council
The Transaction Processing Performance Council, founded in 1988 by eight companies, defines transaction processing and database benchmarks, with independently audited results that vendors publish and buyers use to compare systems.
Transaction processing system
A transaction processing system, also called a transaction server, records commercial exchanges such as banking, reservations, and order entry as reliable database transactions with ACID guarantees.
Transductive learning
Transductive learning is a machine learning setting, introduced by Vapnik, in which a model predicts labels for one specific given test set rather than learning a general rule.
TransE
TransE is a knowledge graph embedding method that represents entities and relations as vectors, scoring a triple by how well head plus relation approximates the tail.
Transfer learning
Transfer learning, also called inductive transfer, is a machine learning framework that reuses knowledge from one task to improve learning on a different but related task, avoiding costly data labeling.
Transformer-XL
Transformer-XL, short for extra long, is a 2019 neural network architecture for language modeling that extends the Transformer beyond fixed-length context through segment-level recurrence and relative positional encoding.
Translation quality estimation
Translation quality estimation (QE) is a machine learning method that predicts the quality of machine-translated text without reference translations, scoring translations to flag, filter, or select them.
Transportation theory (mathematics)
Transportation theory, also called optimal transport, is the mathematical study of moving one distribution of mass onto another at minimum cost, originating with Monge in 1781.
Trapezoidal rule
The trapezoidal rule is a numerical integration method that approximates definite integrals by treating each slice of area as a trapezoid, converging exceptionally fast for periodic functions.
Travel to Europe
Travel to Europe is the European Union's official website for information on entering the Schengen area, home of the EES entry-exit system and ETIAS travel authorization.
Tree (abstract data type)
A tree, or tree data structure, is an abstract data type of parent-child linked nodes with one root and no cycles, used for hierarchies like document models and syntax trees.
Tree structure
A tree structure is a hierarchical data organization in which every element except the root has exactly one parent, used in file systems and search indexes.
Tree tensor network
A tree tensor network (TTN) is a tensor network whose tensors form a tree, connecting distant sites through few intermediate tensors and used in quantum simulation and machine learning.
Tree traversal
Tree traversal, also called tree walk, is the act of visiting every node of a tree data structure exactly once in a defined order so the data can be processed.
Treewidth
Treewidth is a graph parameter that measures how far a graph is from being a tree, defined as the minimum width of any tree decomposition of the graph.
Triangulation
Triangulation in computer vision is the process of computing a point's 3D position by intersecting rays back-projected from two or more cameras with known geometry.
Trie
A trie, also called a prefix tree or digital tree, is a tree data structure for storing strings where each node represents a distinct prefix of the stored keys.
Trino (SQL query engine)
Trino, formerly PrestoSQL, is an open source distributed ANSI SQL query engine forked from Presto in 2019 by its creators and renamed in December 2020, governed by the Trino Software Foundation and used via connectors on lakehouses, with Amazon Athena engine v3 based on it.
Triplestore
A triplestore, also called an RDF store, is a database purpose-built to store RDF triples, subject-predicate-object facts, and to answer queries written in the SPARQL language.
Triplet extraction
Triplet extraction is an information extraction method in natural language processing that identifies subject–predicate–object triples in text, such as (Paris, capital_of, France), to build knowledge graphs.
Triplet network
A triplet network is a neural network architecture for metric learning: three copies of one embedding network compare anchor, positive, and negative examples to learn a similarity space.
Trust in automation
Trust in automation is the attitude that an automated agent will help achieve a person's goals amid uncertainty, defined by John D. Lee and Katrina A. See in 2004.
TSPLIB
TSPLIB is a library of sample instances for the traveling salesman problem, collected by Gerhard Reinelt and published in 1991 as a standard testing benchmark.