Browse Definitions :

Algorithms

Terms related to procedures or formulas for solving a problem by conducting a sequence of specified actions. In computing, algorithms in the form of mathematical instructions play an important part in search, artificial intelligence (AI) and machine learning.

ALG - TWO

  • algorithm - An algorithm (pronounced AL-go-rith-um) is a procedure or formula for solving a problem, based on conducting a sequence of specified actions.
  • algorithmic accountability - Algorithmic accountability is the concept that companies should be held responsible for the results of their programmed algorithms.
  • backpropagation algorithm - Backpropagation (backward propagation) is an important mathematical tool for improving the accuracy of predictions in data mining and machine learning.
  • bees algorithm - The bees algorithm is a method of problem solving that mimics the behavior of honeybees to find the optimum solution.
  • cache algorithm - A cache algorithm is a detailed list of instructions that decides which items should be discarded in a computer's cache of information.
  • cinema pulldown 3:2 (telecine) - Cinema pulldown 3:2 is an algorithm for matching the slower frame rate of film to the faster refresh rate of a 60 Hz television.
  • consensus algorithm - A consensus algorithm is a process in computer science used to achieve agreement on a single data value among distributed processes or systems.
  • domain generation algorithm (DGA) - A domain generation algorithm or DGA is a computer program used to create domain names, typically for the purpose of propagating remotely controlled Web-based malware.
  • evolutionary algorithm - An evolutionary algorithm (EA) is an algorithm that uses mechanisms inspired by nature and solves problems through processes that emulate the behaviors of living organisms.
  • greedy algorithm - A greedy algorithm is a mathematical process that looks for simple, easy-to-implement solutions to complex, multi-step problems by deciding which next step will provide the most obvious benefit.
  • leaky bucket algorithm - The leaky bucket algorithm is used to implement traffic policing and traffic shaping in Ethernet and cellular data networks.
  • logistic regression - Logistic regression is a statistical analysis method used to predict a data value based on prior observations of a data set.
  • machine learning algorithm - A machine learning algorithm is the method by which the AI system conducts its task, generally predicting output values from given input data.
  • machine learning bias (algorithm bias or AI bias) - Machine learning bias, also known as algorithm bias or AI bias, is a phenomenon that occurs when an algorithm produces results that are systematically prejudiced due to erroneous assumptions in the machine learning process.
  • Melbourne shuffle algorithm - The Melbourne shuffle algorithm is a sequence of actions intended to obscure the patterns by which cloud-based data is accessed.
  • Nagle's algorithm - Named for its creator, John Nagle, the Nagle algorithm is used to automatically concatenate a number of small buffer messages; this process (called nagling) increases the efficiency of a network application system by decreasing the number of packets that must be sent.
  • RankBrain - RankBrain is an artificial intelligence (AI) component of Google's Hummingbird search algorithm that uses machine learning to improve the way Web pages are positioned in search engine results pages (SERP).
  • RSA algorithm (Rivest-Shamir-Adleman) - The RSA algorithm is the basis of a cryptosystem -- a suite of cryptographic algorithms that are used for specific security services or purposes -- which enables public key encryption and is widely used to secure sensitive data, particularly when it is being sent over an insecure network such as the internet.
  • sorting algorithm - A sorting algorithm is a method for reorganizing a large number of items into a specific order, such as alphabetical, highest-to-lowest value or shortest-to-longest distance.
  • support vector machine (SVM) - A support vector machine (SVM) is a type of deep learning algorithm that performs supervised learning for classification or regression of data groups.
  • traveling salesman problem (TSP) - The traveling salesman problem (TSP) is an algorithmic problem tasked with finding the shortest route between a set of points and locations that must be visited.
  • Twofish - Twofish is an encryption algorithm based on an earlier algorithm, Blowfish, and was a finalist for a NIST Advanced Encryption Standard (AES) algorithm to replace the DES algorithm.

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