Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Alicia Marcela Printista"'
Autor:
Jair Lobos, Graciela Verónica Gil Costa, Nora Susana Reyes, Alicia Marcela Printista, Mauricio Marín
Publikováno v:
Journal of Computer Science and Technology, Vol 15, Iss 02, Pp 93-99 (2015)
The classic use of Stream Processing platforms enables working with data in real time, which allows you to generate data analysis quickly attending to a decisionmaking process. However, you can use these platforms for other applications such as index
Externí odkaz:
https://doaj.org/article/7a7ec6e3bc424a6fab0a2e6d85ff4a49
Autor:
Mercedes Barrionuevo, Luis Britos, Fabricio H. Bustos, Graciela Verónica Gil Costa, Mariela Lopresti, Virginia Mancini, Natalia Carolina Miranda, César Ochoa, María Fabiana Piccoli, Alicia Marcela Printista, Nora Susana Reyes
Publikováno v:
Journal of Computer Science and Technology, Vol 13, Iss 03, Pp 111-117 (2013)
With the technology advance and the growth of Internet, the information that can be found in this net, as well as the number of users that access to look for specific data is bigger. Therefore, it is desirable to have a search system that allows to
Externí odkaz:
https://doaj.org/article/1a7bada498674e6f902f25de68b1576d
Publikováno v:
Journal of Computer Science and Technology, Vol 9, Iss 01, Pp 27-31 (2009)
Current performance prediction analytical models try to characterize the performance behavior of actual machines through a small set of parameters. Due to different factors, the predicted times suffer substantial deviations. A natural approach is to
Externí odkaz:
https://doaj.org/article/7b688274d77f4bb8b063a8eb71828212
Publikováno v:
Journal of Computer Science and Technology, Vol 7, Iss 01, Pp 14-20 (2007)
Computer simulations using Cellular Automata (CA) have been applied with considerable success in diferent scientific areas, such as chemistry, biochemistry, economy, physics, etc. In this work we use CA in order to specify and implement a simulation
Externí odkaz:
https://doaj.org/article/0756021a9b174f90b1094e37ed179ee9
Publikováno v:
Journal of Computer Science and Technology, Vol 6, Iss 01, Pp 28-35 (2006)
Most information in science, engineering and business has been recorded in form of text. This information can be found online in the World-Wide-Web. One of the major tools to support information access are the search engines which usually use informa
Externí odkaz:
https://doaj.org/article/158d856871d34ba7a4f6fdb531df28da
Autor:
Graciela Verónica Gil Costa, Alicia Marcela Printista, Nora Susana Reyes, Juan Mauricio Marin Cahiuan
Publikováno v:
Journal of Computer Science and Technology, Vol 5, Iss 04, Pp 299-304 (2005)
In order to be able to perform multimedia searches (like sounds, videos, images, etc.) we have to use data structures like the Spatial Approximation Tree (SAT). This structure is a nice example of a tree structure in which well-known tricks for tree
Externí odkaz:
https://doaj.org/article/5299becb9a6c4279a2db22e833b42e4f
Publikováno v:
Journal of Computer Science and Technology, Vol 1, Iss 06, Pp 11 p.-11 p. (2002)
Q-Learning is a Reinforcement Learning method for solving sequential decision problems, where the utility of actions depends on a sequence of decisions and there exists uncertainty about the dynamics of the environment the agent is situated on. This
Externí odkaz:
https://doaj.org/article/70d221265f9943c7bcd5c57264387e3e
Autor:
Jesús Alberto Gonzalez, Coromoto León, María Fabiana Piccoli, Alicia Marcela Printista, José Luis Roda García, Casiano Rodríguez, Francisco de Sande
Publikováno v:
Journal of Computer Science and Technology, Vol 1, Iss 03, Pp 11 p.-11 p. (2000)
The parallel computing model used in this paper, the Collective Computing Model (CCM), is a variant of the well-known Bulk Synchronous Parallel (BSP) model. The synchronicity imposed by the BSP model restricts the set of available algorithms and prev
Externí odkaz:
https://doaj.org/article/07c913be54794a6181e7799aff915228
Publikováno v:
Journal of Computer Science and Technology, Vol 1, Iss 01, Pp 14 p.-14 p. (1999)
Fast response, storage efficiency, fault tolerance and graceful degradation in face of scarce or spurious inputs make neural networks appropiate tools for Intelligent Computer Systems. But on the other hand, learning algorithms for neural networks in
Externí odkaz:
https://doaj.org/article/8b7ea79d6a1b49e5a96513c7d8976379
Publikováno v:
LA-WEB
With the technology advance and the growth of Internet, the information that can be found in this net, as well as the number of users that access to look for specific data is bigger. Therefore it is desirable to have a search system that allows to re