3,135 articles
Hortonworks
Hortonworks (2011-2019) was a Yahoo spinoff selling a 100% open source Apache Hadoop distribution, the Hortonworks Data Platform; it created YARN and Ambari, IPOed on Nasdaq as HDP in 2014, and merged into Cloudera in January 2019.
HotpotQA
HotpotQA is a 2018 question answering dataset of 113k Wikipedia question-answer pairs, built by researchers at Carnegie Mellon, Stanford, and Université de Montréal, requiring multi-hop reasoning over multiple supporting documents.
Hough transform
The Hough transform, also known as the Hough algorithm, is a computer vision feature-extraction technique that detects lines and circles by letting edge points vote in parameter space.
Huffman coding
Huffman coding, also called Huffman's algorithm, is an algorithm published by David A. Huffman in 1952 that builds an optimal prefix code for data compression.
Hugging Face Datasets
Hugging Face Datasets: Hub-hosted dataset repositories plus the 🤗 Datasets Python library. load_dataset() one-line loading, Apache Arrow backend, streaming=True for terabyte corpora like fineweb (45 TB), Parquet conversion, 175K+ datasets.
Hugging Face Transformers
Hugging Face Transformers is an open-source Python library giving a single API for pretrained machine learning models across text, vision, audio, and multimodal tasks, first described in 2019.
Human–AI interaction
Human–AI interaction is a multidisciplinary field studying the design of interactive artificial intelligence for human use, extending human–computer interaction; an early landmark was the 1966 chatbot Eliza.
Human–computer interaction
Human–computer interaction (HCI), also called human–machine interaction, is a field that designs interactions between people and computational systems and builds the supporting interfaces; it emerged as a distinct field around 1983.
Human–object interaction detection
Human–object interaction detection is a computer vision task that locates humans and objects in an image and classifies what each human is doing with each object.
Human3.6M
Human3.6M is a large-scale laboratory dataset of 3.6 million 3D human poses recorded from 11 subjects, introduced in 2014 and the standard benchmark for 3D human pose estimation.
HumanEva
HumanEva is a pair of computer-vision datasets with synchronized multi-view video and 3D motion capture, created at Brown University in 2006 to benchmark human pose estimation and tracking.
Hungarian algorithm
The Hungarian algorithm, also known as the Kuhn-Munkres or Munkres algorithm, solves the linear sum assignment problem in polynomial time, first published by Harold Kuhn in 1955.
Hybrid recommender system
A hybrid recommender system is a recommender that combines multiple recommendation techniques to produce its output, most often mixing collaborative filtering with content-based methods to overcome cold-start problems.
Hybrid search
Hybrid search is an information retrieval technique that runs keyword and vector queries against the same index and merges their results into a single ranking.
Hybrid transactional/analytical processing
Hybrid transactional/analytical processing (HTAP), also called hybrid OLTP & OLAP or translytical, is a database architecture, named by Gartner in 2014, that runs transactions and real-time analytics on the same data without ETL, balancing freshness against performance isolation.
Hyper-heuristic
A hyper-heuristic is an automated method for selecting or generating heuristics to solve computational search problems, aiming to raise the level of generality of optimization systems across problem domains.
Hyper-reduction
Hyper-reduction is a computational technique in model order reduction that speeds up reduced-order simulations by evaluating nonlinear terms only at a small set of sample points.
Hyperdimensional computing
Hyperdimensional computing (HDC), also known as vector symbolic architectures, is a family of computational models that represent data as very high-dimensional hypervectors, coined by Pentti Kanerva in 2009.
Hypergraph convolutional network
A hypergraph convolutional network (HGNN) is a neural network that generalizes graph convolution to hyperedges linking many vertices, introduced by Yifan Feng in 2018 and published at AAAI 2019.
Hypergraph learning
Hypergraph learning is machine learning on hypergraphs, whose hyperedges connect any number of nodes to model higher-order interactions like co-authorship, with deep-learning methods now predominant.
Hypergraph neural network
A hypergraph neural network (HNN or HGNN) is a graph neural network that operates on hypergraphs, where one hyperedge connects any number of nodes, serving node classification and recommendation.
HyperLogLog
HyperLogLog (HLL) is a probabilistic algorithm introduced in 2007 by Philippe Flajolet and colleagues that estimates the number of distinct elements in a data stream using fixed, small memory, trading a small error for space.
HyperNEAT
HyperNEAT is an indirect encoding method for evolving artificial neural networks, in which a CPPN generates connection weights from node coordinates; it extends NEAT and was introduced in 2009.
Hypernetworks
A hypernetwork (hypernet) is a neural network that generates the weights of another network, the target, introduced by David Ha, Andrew Dai, and Quoc V. Le in 2016.
Hyperparameter (machine learning)
A hyperparameter in machine learning is a configuration value, such as the learning rate or number of layers, set before training rather than learned from the data.
Hyperparameter optimization
Hyperparameter optimization, also called hyperparameter tuning, is the process of searching for machine learning settings, like learning rate or network size, that give the best performance, usually judged by cross-validation.
Hyperparameter search
Hyperparameter search is a machine learning method that automatically tunes a model's hyperparameters, such as learning rate or regularization strength, by evaluating candidate configurations and selecting those that optimize validation performance.
Hypervolume indicator
The hypervolume indicator, also called the S-metric or Lebesgue measure, is a quality measure for solution sets in multi-objective optimization, introduced by Zitzler and Thiele in 1998.
I-20 (form)
The Form I-20, formally the Certificate of Eligibility for Nonimmigrant Student Status, is issued by certified American schools to accepted foreign students applying for F-1 or M-1 visas.
i-vector
An i-vector, or identity vector, is a low-dimensional fixed-length representation of a speech utterance, extracted by factor analysis for speaker recognition, language recognition, and speaker diarization.