Huang's algorithm is an algorithm for detecting termination in a distributed system. The algorithm was proposed by Shing-Tsaan Huang in 1989 in Information...

fulfilling Huang's law. Huang's law claims that a synergy between hardware, software, and artificial intelligence makes the new 'law' possible. Huang said,...

consensus algorithm Paxos algorithm Raft (computer science) Detection of Process Termination Dijkstra-Scholten algorithm Huang's algorithm Lamport ordering:...

the first time and Huang's net worth grew to US$100 billion. By then, the news media was using the term "Jensanity" to refer to Huang's celebrity status...

of terminating.) Huang's algorithm Ghosh, Sukumar (2010), "9.3.1 The Dijkstra–Scholten Algorithm", Distributed Systems: An Algorithmic Approach, CRC Press...

intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform...

A primality test is an algorithm for determining whether an input number is prime. Among other fields of mathematics, it is used for cryptography. Unlike...

Gale–Shapley algorithm (also known as the deferred acceptance algorithm, propose-and-reject algorithm, or Boston Pool algorithm) is an algorithm for finding...

Strassen algorithm, named after Volker Strassen, is an algorithm for matrix multiplication. It is faster than the standard matrix multiplication algorithm for...

central operation in many numerical algorithms, much work has been invested in making matrix multiplication algorithms efficient. Applications of matrix...

produced with sophisticated algorithms. In addition, many approximation algorithms exist. For example, the first fit algorithm provides a fast but often...

Algorithmic art or algorithm art is art, mostly visual art, in which the design is generated by an algorithm. Algorithmic artists are sometimes called...

extension of the one-dimensional (1-D) EMD algorithm to a signal encompassing multiple dimensions. The Hilbert–Huang empirical mode decomposition (EMD) process...

In computing, the alias method is a family of efficient algorithms for sampling from a discrete probability distribution, published in 1974 by Alastair...

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World is a book by Pedro Domingos released in 2015. Domingos wrote...

computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems...

The Smith–Waterman algorithm performs local sequence alignment; that is, for determining similar regions between two strings of nucleic acid sequences...

intended function of the algorithm. Bias can emerge from many factors, including but not limited to the design of the algorithm or the unintended or unanticipated...

analysis refers to a family of algorithms and tasks rather than one specific algorithm. It can be achieved by various algorithms that differ significantly...

form of a Markov decision process (MDP), as many reinforcement learning algorithms use dynamic programming techniques. The main difference between classical...

merge-sort) is an efficient, general-purpose, and comparison-based sorting algorithm. Most implementations of merge sort are stable, which means that the relative...

used to perform automatic image thresholding. In the simplest form, the algorithm returns a single intensity threshold that separate pixels into two classes –...

The forward algorithm, in the context of a hidden Markov model (HMM), is used to calculate a 'belief state': the probability of a state at a certain time...

The Shapiro—Senapathy algorithm (S&S) is a computational method for identifying splice sites in eukaryotic genes. The algorithm employs a Position Weight...

became repeated events. Huang's research tended to focus on the development of general concepts, methodologies, theories, and algorithms which have wide application...

Unsolved problem in computer science What is the fastest algorithm for matrix multiplication? More unsolved problems in computer science In theoretical...

reconstruction algorithms have been developed to implement the process of reconstruction of a three-dimensional object from its projections. These algorithms are...

The junction tree algorithm (also known as 'Clique Tree') is a method used in machine learning to extract marginalization in general graphs. In essence...

coincides with the minimal Herbrand model. The fixpoint semantics suggest an algorithm for computing the minimal model: Start with the set of ground facts in...

improved EMD was an appropriate algorithm to be used for analyzing biological signals. Biomedical applications: Huang et al. [1999b] analyzed the pulmonary...