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...

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

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

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...

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

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

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

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

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

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...

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

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...

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

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

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

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

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

system with terms such as platform, engine, or algorithm) and sometimes only called "the algorithm" or "algorithm", is a subclass of information filtering system...

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

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

time algorithm is known for this problem, more efficient algorithms than the brute-force search are known. For instance, the Bron–Kerbosch algorithm can...

reward function to improve an agent's policy through an optimization algorithm like proximal policy optimization. RLHF has applications in various domains...

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