• In decision theory, the odds algorithm (or Bruss algorithm) is a mathematical method for computing optimal strategies for a class of problems that belong...
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  • by the odds algorithm. The odds are a ratio of probabilities; an odds ratio is a ratio of odds, that is, a ratio of ratios of probabilities. Odds-ratios...
    28 KB (4,083 words) - 14:33, 26 June 2025
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    immediately. The shortest rigorous proof known so far is provided by the odds algorithm. It implies that the optimal win probability is always at least 1 /...
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  • method (downhill simplex method): a nonlinear optimization algorithm Odds algorithm (Bruss algorithm): Finds the optimal strategy to predict a last specific...
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  • Some online algorithms: Insertion sort Perceptron Reservoir sampling Greedy algorithm Odds algorithm Page replacement algorithm Algorithms for calculating...
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    physician judgment. Artificial intelligence in healthcare Medical guideline Odds algorithm Johnson, Kathy A.; Svirbely, John R.; Sriram, M.G.; Smith, Jack W.;...
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  • modifications of this problem is provided by the more recent odds algorithm of optimal stopping (Bruss algorithm). Economists have studied a number of optimal stopping...
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  • p s ′ s ( a ) . {\displaystyle p_{s's}(a).} Probabilistic automata Odds algorithm Quantum finite automata Partially observable Markov decision process...
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    (LFP) LP-type problem Mathematical programming Nonlinear programming Odds algorithm used to solve optimal stopping problems Oriented matroid Quadratic programming...
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    Ordinal priority approach – Multiple-criteria decision analysis method Odds algorithm – Method of computing optimal strategies for last-success problems Topological...
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  • the actions of other players. Concept Driven Strategy Consultant Odds algorithm (Odds strategy) Sports strategy Strategy game Strategic management Strategy...
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    instance, for questions of when to stop sequential treatments (see Odds algorithm), and then quantified methods may play an important role. Additional...
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    depends on the method used. See Sequential analysis. Optimal stopping Odds algorithm Secretary problem Hitting time Stopped process Disorder problem Début...
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    genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)....
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  • History Decision management Disease surveillance Learning analytics Odds algorithm Pattern recognition Predictive inference Predictive policing Social...
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  • time to take a particular action Odds algorithm Robbins' problem Global optimization: BRST algorithm MCS algorithm Multi-objective optimization — there...
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  • favorable risk–benefit ratio. Benefit shortfall Cost–benefit analysis Odds algorithm Optimism bias Reference class forecasting "Risk-Benefit Analysis". Capita...
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  • He published 64 research papers concerning: 1/e-law of best choice Odds algorithm of optimal stopping Galton–Watson processes Resource Dependent Branching...
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  • Observational study Observed information Occupancy frequency distribution Odds Odds algorithm Odds ratio Official statistics Ogden tables Ogive (statistics) Omitted-variable...
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    Logit (redirect from Log-odds)
    the Richards family models. The log-odds function of probabilities is often used in state estimation algorithms because of its numerical advantages in...
    12 KB (1,510 words) - 02:25, 20 July 2025
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    Sieve of Eratosthenes (category Algorithms)
    In mathematics, the sieve of Eratosthenes is an ancient algorithm for finding all prime numbers up to any given limit. It does so by iteratively marking...
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  • Bayes' theorem (redirect from Pretest odds)
    statistician, and philosopher. Bayes used conditional probability to provide an algorithm (his Proposition 9) that uses evidence to calculate limits on an unknown...
    49 KB (6,809 words) - 00:57, 25 July 2025
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    The Data Encryption Standard (DES /ˌdiːˌiːˈɛs, dɛz/) is a symmetric-key algorithm for the encryption of digital data. Although its short key length of 56...
    60 KB (6,717 words) - 14:31, 5 July 2025
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    co-produced the podcast In Machines We Trust and wrote the newsletter The Algorithm. Previously, she worked at Quartz as a tech reporter and data scientist...
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    logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent variables...
    121 KB (19,414 words) - 03:19, 24 July 2025
  • Multiclass classification (category Classification algorithms)
    classification algorithms (notably multinomial logistic regression) naturally permit the use of more than two classes, some are by nature binary algorithms; these...
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  • Shiny. They are very rare to encounter in the Pokémon games, with very low odds of encountering one across many games in the franchise. How Shiny color palettes...
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  • Generalization error (category Classification algorithms)
    a measure of how accurately an algorithm is able to predict outcomes for previously unseen data. As learning algorithms are evaluated on finite samples...
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  • learners with tutors through a machine-learning-powered recommendation algorithm. Beginning as a team of three in 2012, Preply has grown to over 675 employees...
    11 KB (940 words) - 12:57, 8 July 2025
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    research company DeepMind to master the games of chess, shogi and go. This algorithm uses an approach similar to AlphaGo Zero. On December 5, 2017, the DeepMind...
    23 KB (2,564 words) - 16:02, 7 May 2025