Robust random early detection (RRED) is a queueing discipline for a network scheduler. The existing random early detection (RED) algorithm and its variants...

Random early detection (RED), also known as random early discard or random early drop, is a queuing discipline for a network scheduler suited for congestion...

more packets, up to e.g. 100%, as the queue fills further. The robust random early detection (RRED) algorithm was proposed to improve the TCP throughput...

controller Random early detection (RED) Random Exponential Marking (REM) RED with Preferential Dropping (RED-PD) Robust random early detection (RRED) RSFB:...

machines) and random patterns that distract from the information (called noise, consisting of background stimuli and random activity of the detection machine...

monotonic transformations of the input variables, and is robust to outlying observations. Random forest dissimilarity easily deals with a large number of...

Novelty detection Anscombe's quartet Data transformation (statistics) Extreme value theory Influential observation Random sample consensus Robust regression...

concepts of resiliency (i.e. the ability to recover from failure) and robustness (that is, the ability to resist failure). The concept has been applied...

hardware random number generator (HRNG), true random number generator (TRNG), non-deterministic random bit generator (NRBG), or physical random number generator...

detection of software bugs. It supports Windows and Linux. It has been archived three years later on November 1st, 2023. Testing programs with random...

outlier detection with correlation coefficients". Biometrika. 62 (3): 531–545. doi:10.1093/biomet/62.3.531. JSTOR 2335508. Huber, Peter. J. (2004). Robust Statistics...

encrypted data or a block of random data (an unbreakable cipher like the one-time pad generates ciphertexts that look perfectly random without the private key)...

random number generation (security through obscurity). That RNG was fixed in later releases (version 2 and higher) by more robust (i.e., more random and...

may also be the result of a general neighborhood operation or feature detection applied to the image. Other examples of features are related to motion...

like Linux distributions, provide robust randomization, others, like Windows and macOS, often fail to adequately randomize key areas like executable code...

feature detection, anomaly detection, and learning the meaning of words. In terms of data synthesis, autoencoders can also be used to randomly generate...

attacker chooses. Network intrusion and malware detection systems also must be adversarially robust since attackers may design their attacks to fool...

detection Canny edge detector: detect a wide range of edges in images Generalised Hough transform Hough transform Marr–Hildreth algorithm: an early edge...

must therefore deal with the random perturbations resulting from gene expression stochasticity. In bilaterians, robustness of gene expression can be achieved...

original authors. Malkov, Yu A.; Yashunin, D. A. (2016). "Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World...

Zhao, Liang; Corso, Jason J. (2014). "Brain tumor detection and segmentation in a CRF (Conditional random fields) framework with pixel-pairwise affinity...

independent random variables with finite variance tends towards a Gaussian distribution. Loosely speaking, a sum of two independent random variables usually...

drugs or their metabolites. Major applications of drug testing include detection of the presence of performance enhancing steroids in sport, employers...

far more robust to outliers, so that if the Gaussian model is questionable or approximate, there may advantages to using the median (see Robust statistics)...

a portfolio can be "robust", i.e. gain a positive exposure to black swan events while limiting losses suffered by such random events.: 207  Together...

tagging Intent detection Sentiment analysis Machine translation Speech recognition Image recognition: Facial recognition Object detection Reinforcement...

large language models (LLMs), like ChatGPT, may embed plausible-sounding random falsehoods within its generated content. Researchers have recognized this...

corner detection. Point cloud registration has extensive applications in autonomous driving, motion estimation and 3D reconstruction, object detection and...

change between deterministic (Hopfield) and stochastic (Boltzmann) to allow robust output, weights are removed within a layer (RBM) to hasten learning, or...

intra-computer communication. A random bit flip (e.g. due to random radiation) is typically corrected upon detection. A bit or a group of malfunctioning...