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A Comparative Evaluation of Bayesian Networks Structure Learning Using Falcon Optimization Algorithm
Bayesian networks are analytical models that may represent probabilistic dependent connections among variables and are useful in machine learning for generating knowledge structure. Due to the vastness of the solution ...
Aplicação do peer review of electronic search strategies para avaliação da qualidade das estratégias de busca das revisões sistemáticas
(Universidade Federal do Rio Grande do Sul, 2023)
Comparative Study of Concurrency Control on Bulk-Synchronous Parallel Search Engines
(2007)
In this paper we propose and evaluate the performance of concurrency control strategies for
a parallel search engine that is able to cope efficiently with concurrent read/write operations.
Read operations come in the ...
Gelisp: A Library to Represent Musical Constraint Satisfaction Problems and Search Strategies.
(Asian Research Publishing Network, 2016-04-02)
In this paper we present Gelisp, a new library to represent musical Constraint Satisfaction Problems and search strategies intuitively. Gelisp has two interfaces, a command-line one for Common Lisp and a graphical one for ...
The Effect of Internet Searches on Afforestation: The Case of a Green Search Engine
Ecosia is an Internet search engine that plants trees with the income obtained from advertising. This study explored the factors that affect the adoption of Ecosia.org from the perspective of technology adoption and trust. ...
A vector model for routing queries in web search engines
(Elsevier, 2010)
This paper proposes a method for reducing the number of search nodes involved in the solution of queries arriving
to a Web search engine. The method is applied by the query receptionist machine during situations of sudden ...