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  • Miniatura para Macrodatos
    Robin Goldstone ; Weikuan Yu ; Teng Wang (2014). «Characterization and Optimization of Memory-Resident MapReduce on HPC Systems». IEEE.  L’Heureux, A.;…
    114 kB (13 658 palabras) - 16:19 24 feb 2024

Resultados de la Wikipedia en inglés.

  • Bayesian optimization is a sequential design strategy for global optimization of black-box functions that does not assume any functional forms. It is usually…
    15 kB (1594 palabras) - 21:55 26 feb 2024
  • knowledge-processing applications. In Prolog, program logic is expressed in terms of relations, and a computation is initiated by running a query over these…
    70 kB (7988 palabras) - 21:46 27 abr 2024
  • Database (redirección desde Query Processing)
    graphs and charts, especially in a data warehouse system. Query optimizer – Performs query optimization on every query to choose an efficient query plan…
    75 kB (9539 palabras) - 00:27 2 may 2024
  • GA applications include optimizing decision trees for better performance, solving sudoku puzzles, hyperparameter optimization, causal inference, etc.…
    67 kB (8025 palabras) - 00:17 28 mar 2024
  • In database theory, relational algebra is a theory that uses algebraic structures for modeling data, and defining queries on it with a well founded semantics…
    50 kB (6301 palabras) - 18:22 20 abr 2024
  • for searching and processing information in documents and databases; closely related to information retrieval. Compiler theoryTheory of compiler design…
    11 kB (1053 palabras) - 23:20 24 mar 2024
  • Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute…
    74 kB (9478 palabras) - 00:39 18 ene 2024
  • In database theory and systems, a monotonic query is one that does not lose any tuples it previously made output, with the addition of new tuples in the…
    3 kB (432 palabras) - 18:32 16 abr 2024
  • other disciplines, such as game theory, control theory, operations research, information theory, simulation-based optimization, multi-agent systems, swarm…
    129 kB (14 304 palabras) - 19:19 1 may 2024
  • IBM Db2 (redirección desde IBM PureQuery)
    features four key optimizations: (1) a columnar organized storage model, (2) in-memory processing, (3) querying of compressed data sets, and (4) data skipping…
    46 kB (5365 palabras) - 17:26 29 mar 2024
  • check results for some queries and determine relevance of each result. It is not feasible to check the relevance of all documents, and so typically a technique…
    47 kB (3789 palabras) - 20:49 12 abr 2024
  • search query. It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson, Karen Spärck Jones, and others…
    9 kB (1281 palabras) - 23:12 10 ene 2024
  • circuit. It can be used to solve problems in graph theory. The algorithm makes use of classical optimization of quantum operations to maximize an "objective…
    39 kB (4558 palabras) - 20:57 1 may 2024
  • part and the query part, which varies over the problem instances. The search space typically needs to be preprocessed, in a way that multiple queries can…
    15 kB (2101 palabras) - 04:13 7 abr 2024
  • methods of inductive logic programming. stochastic optimization (SO) Any optimization method that generates and uses random variables. For stochastic problems…
    252 kB (27 514 palabras) - 12:24 19 abr 2024
  • State-of-the-Art Natural Language Processing". Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. pp…
    65 kB (8163 palabras) - 01:39 3 may 2024
  • pages and other relevant information on the Web in response to a user's query. The user inputs a query within a web browser or a mobile app, and the search…
    68 kB (7560 palabras) - 09:48 5 abr 2024
  • semantic query optimization, graphical query languages, and querying web data. In addition, he also made important contributions to recursive query languages…
    9 kB (740 palabras) - 18:38 21 mar 2024
  • and optimization techniques for data reading. It is able to meet all the four requirements of data placement: (1) fast data loading, (2) fast query processing…
    12 kB (1445 palabras) - 18:50 23 abr 2024
  • label(P) ≠ undefined then continue /* Previously processed in inner loop */ Neighbors N := RangeQuery(DB, distFunc, P, eps) /* Find neighbors */ if |N|…
    29 kB (3488 palabras) - 20:55 10 mar 2024
  • function to improve an agent's policy through an optimization algorithm like proximal policy optimization. RLHF has applications in various domains in machine…
    43 kB (4906 palabras) - 01:41 29 abr 2024