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InfoLab 1997. mit Nir Friedman, Lise Getoor, Avi Pfeffer: Learning probabilistic relational models. In: Proceedings of the International Joint Conference…5 KB (567 Wörter) - 19:19, 6. Okt. 2024
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- Machine learning (Weiterleitung von „Machine learning algorithm“)training algorithm builds a model that predicts whether a new example falls into one category. An SVM training algorithm is a non-probabilistic, binary…140 KB (15.460 Wörter) - 05:11, 20. Apr. 2025
- science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems that can be reduced…77 KB (9.487 Wörter) - 05:42, 15. Apr. 2025
- Artificial intelligence (Weiterleitung von „Probabilistic AI“)decision networks) and perception (using dynamic Bayesian networks). Probabilistic algorithms can also be used for filtering, prediction, smoothing, and finding…278 KB (28.809 Wörter) - 14:40, 19. Apr. 2025
- reason for finding such algorithms. For example, if tomorrow there were a discovery that showed there is a factoring algorithm with a huge but provably…21 KB (2.636 Wörter) - 22:48, 10. Apr. 2025
- science and operations research, approximation algorithms are efficient algorithms that find approximate solutions to optimization problems (in particular NP-hard…23 KB (3.127 Wörter) - 05:45, 24. Mär. 2025
- In statistics, the k-nearest neighbors algorithm (k-NN) is a non-parametric supervised learning method. It was first developed by Evelyn Fix and Joseph…32 KB (4.333 Wörter) - 01:48, 17. Apr. 2025
- K-means clustering (Weiterleitung von „K-means clustering algorithm“)Euclidean solutions can be found using k-medians and k-medoids. The problem is computationally difficult (NP-hard); however, efficient heuristic algorithms converge…62 KB (7.754 Wörter) - 13:44, 13. Mär. 2025
- Quantum computing (Weiterleitung von „Quantum search algorithms“)"between" the two basis states. When measuring a qubit, the result is a probabilistic output of a classical bit. If a quantum computer manipulates the qubit…113 KB (12.415 Wörter) - 09:14, 20. Apr. 2025
- Travelling salesman problem (Weiterleitung von „Approximation algorithms for the traveling salesman problem“)they only needed 26 cuts to come to a solution for their 49 city problem. While this paper did not give an algorithmic approach to TSP problems, the ideas…87 KB (11.621 Wörter) - 07:09, 30. Mär. 2025
- Linear programming (Weiterleitung von „Algorithms for linear programming“)JSTOR 3689647. Borgwardt, Karl-Heinz (1987). The Simplex Algorithm: A Probabilistic Analysis. Algorithms and Combinatorics. Vol. 1. Springer-Verlag. (Average…61 KB (6.690 Wörter) - 16:36, 28. Feb. 2025
- Number theory (Abschnitt Probabilistic number theory)probabilistic number theory hinge on the fact that whatever is unusual must be rare. If certain algebraic objects (say, rational or integer solutions…82 KB (10.413 Wörter) - 07:13, 20. Apr. 2025
- Bloom filter (Kategorie Probabilistic data structures)In computing, a Bloom filter is a space-efficient probabilistic data structure, conceived by Burton Howard Bloom in 1970, that is used to test whether…90 KB (10.780 Wörter) - 15:15, 31. Jan. 2025
- Recommender system (Weiterleitung von „The algorithm“)system with terms such as platform, engine, or algorithm), sometimes only called "the algorithm" or "algorithm" is a subclass of information filtering system…97 KB (10.978 Wörter) - 13:55, 2. Apr. 2025
- Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional…53 KB (6.630 Wörter) - 23:10, 4. Apr. 2025
- and Particle Physics Prize – EPS HEPP Prize, 2015. “For developing a probabilistic field theory framework for the dynamics of quarks and gluons, enabling…23 KB (1.961 Wörter) - 07:25, 11. Mär. 2025
- the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning…24 KB (2.542 Wörter) - 06:36, 7. Apr. 2025
- Graph traversal (Weiterleitung von „Graph exploration algorithm“)the algorithm visits each vertex. If the vertex has already been visited, it is ignored and the path is pursued no further; otherwise, the algorithm checks/updates…11 KB (1.492 Wörter) - 21:56, 12. Okt. 2024
- straightforward Viterbi algorithm has complexity O ( N 2 K T ) {\displaystyle O(N^{2K}\,T)} . To find an exact solution, a junction tree algorithm could be used…52 KB (6.811 Wörter) - 06:08, 22. Dez. 2024
- "Statistically based decompression tables X: Real-time decompression algorithm using a probabilistic model". Naval Medical Research Institute Report. 96–06. Archived…17 KB (1.746 Wörter) - 10:34, 18. Apr. 2025
- Association rule learning (Weiterleitung von „Eclat algorithm“)supported interest measures can be used. OPUS is an efficient algorithm for rule discovery that, in contrast to most alternatives, does not require either…49 KB (6.709 Wörter) - 11:17, 9. Apr. 2025
- Deep learning (Abschnitt Drug discovery and toxicology)specifically, the probabilistic interpretation considers the activation nonlinearity as a cumulative distribution function. The probabilistic interpretation…180 KB (17.764 Wörter) - 10:07, 11. Apr. 2025