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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) - 18:19, 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…139 KB (15.481 Wörter) - 14:43, 1. Jan. 2026
- science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems that can be reduced…76 KB (9.469 Wörter) - 05:57, 7. Dez. 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…22 KB (2.739 Wörter) - 05:22, 20. Nov. 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) - 00:56, 23. Dez. 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…290 KB (29.551 Wörter) - 22:52, 3. Jan. 2026
- Quantum computing (Weiterleitung von „Quantum search algorithms“)The result of measuring a qubit is one of the two states given by a probabilistic rule. If a quantum computer manipulates the qubit in a particular way…114 KB (12.555 Wörter) - 23:33, 26. Dez. 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 (7.766 Wörter) - 17:30, 25. Dez. 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…88 KB (11.695 Wörter) - 09:40, 28. Dez. 2025
- science and operations research, approximation algorithms are efficient algorithms that find approximate solutions to optimization problems (in particular NP-hard…24 KB (3.324 Wörter) - 10:26, 18. Dez. 2025
- Recommender system (Weiterleitung von „The algorithm“)A recommender system, also called a recommendation algorithm, recommendation engine, or recommendation platform, is a type of information filtering system…104 KB (11.886 Wörter) - 00:51, 3. Jan. 2026
- 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 (10.809 Wörter) - 12:59, 30. Okt. 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 (1.493 Wörter) - 20:01, 4. Jun. 2025
- game-playing (MuZero, AlphaStar), for geometry (AlphaGeometry), and for algorithm discovery (AlphaEvolve, AlphaDev, AlphaTensor). In 2020, DeepMind made significant…128 KB (11.197 Wörter) - 12:48, 26. Dez. 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 (6.702 Wörter) - 10:28, 25. Dez. 2025
- Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional…54 KB (6.725 Wörter) - 16:51, 20. Dez. 2025
- Deep learning (Abschnitt Drug discovery and toxicology)specifically, the probabilistic interpretation considers the activation nonlinearity as a cumulative distribution function. The probabilistic interpretation…182 KB (18.033 Wörter) - 23:51, 28. Dez. 2025
- 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 (6.794 Wörter) - 16:07, 13. Nov. 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 (6.717 Wörter) - 12:35, 19. Sep. 2025
- estimated with an iterative approach. At each step of the truth discovery algorithm the trustworthiness score of each data source is refined, improving…15 KB (1.760 Wörter) - 02:08, 6. Jun. 2025
- the first process discovery algorithms that could adequately deal with concurrency. With an event log as the input, the α-algorithm derives various "relations"…18 KB (2.519 Wörter) - 16:53, 3. Nov. 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 (2.530 Wörter) - 07:52, 5. Sep. 2025