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Titlebook: Computational Science — ICCS 2003; International Confer Peter M. A. Sloot,David Abramson,Albert Y. Zomaya Conference proceedings 2003 Sprin

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樓主: Ensign
51#
發(fā)表于 2025-3-30 12:04:52 | 只看該作者
Nuno Carolino,António Vicente,Inês Carolinoto share intellectual resources such as remote computers, programs and data in universities and institutes and to support cooperative studies among researchers, building a virtual research environment, ITBL. Japan Atomic Energy Research Institute (JAERI) has been working on installation and manageme
52#
發(fā)表于 2025-3-30 15:03:47 | 只看該作者
53#
發(fā)表于 2025-3-30 17:27:51 | 只看該作者
54#
發(fā)表于 2025-3-31 00:20:48 | 只看該作者
Noemí Castro,Anastasio Argüello,Juan Capoteto identify prominent groups of user query terms for further analysis. Such groups can provide meaningful information regarding web users’ search interests. Identified clusters can further be used for developing an adaptive indexing database for improving conventional search engine efficiency. The p
55#
發(fā)表于 2025-3-31 03:56:12 | 只看該作者
Salvatore Mastrangelo,Adriana Bonannoneural net based on Extended Kalman Filter to examine the nonlinear dynamic proprieties of some financial time series in order to differentiate between low-dimensional chaos and stochastic behavior. Kalman filtering, because it can deal with varying unobservable states, provides an efficient framewo
56#
發(fā)表于 2025-3-31 06:18:02 | 只看該作者
57#
發(fā)表于 2025-3-31 12:30:00 | 只看該作者
58#
發(fā)表于 2025-3-31 15:38:05 | 只看該作者
A Bayes Algorithm for the Multitask Pattern Recognition Problem - Direct Approachorithms with learning sequence. Algorithm with full probabilistic information was working on basis of Bayes decision theory. Full probabilistic information in a pattern recognition task, denotes a knowledge of the classes probabilities and the class-conditional probability density functions. Optimal
59#
發(fā)表于 2025-3-31 19:19:26 | 只看該作者
60#
發(fā)表于 2025-4-1 01:44:10 | 只看該作者
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