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Titlebook: Hybrid Artificial Intelligent Systems; 14th International C Hilde Pérez García,Lidia Sánchez González,Emilio C Conference proceedings 2019

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11#
發(fā)表于 2025-3-23 13:09:40 | 只看該作者
12#
發(fā)表于 2025-3-23 17:00:04 | 只看該作者
James Large,Paul Southam,Anthony Bagnalla simple permutation test for comparing estimated networks. The results provide new insight into properties of estimated networks using different reconstruction methods, as well as differences in estimated networks in different biological conditions.
13#
發(fā)表于 2025-3-23 21:19:29 | 只看該作者
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發(fā)表于 2025-3-23 23:25:53 | 只看該作者
Tae-Young Kim,Sung-Bae Chotical derivations are explained step-by-step, making it accessible to graduate readers. Thus it is a short monograph appealing to a variety of readers interested in nucleosynthesis of big-bang cosmology..978-981-13-2934-0978-981-13-2935-7Series ISSN 2191-5423 Series E-ISSN 2191-5431
15#
發(fā)表于 2025-3-24 04:16:47 | 只看該作者
16#
發(fā)表于 2025-3-24 06:59:55 | 只看該作者
Seok-Jun Bu,Sung-Bae Chout essentially important ones for individual information consumers. We present an open discovery language (ODL) that can completely be controlled by information consumers. ODL is a Big Data technology that embraces the agile design of discovery from the information consumer’s perspective. We want us
17#
發(fā)表于 2025-3-24 13:14:16 | 只看該作者
Ovidiu Cosma,Petrica C. Pop,Cosmin Sabout essentially important ones for individual information consumers. We present an open discovery language (ODL) that can completely be controlled by information consumers. ODL is a Big Data technology that embraces the agile design of discovery from the information consumer’s perspective. We want us
18#
發(fā)表于 2025-3-24 18:52:02 | 只看該作者
Sergio Santander-Jiménez,Miguel A. Vega-Rodríguez,Leonel Sousaut essentially important ones for individual information consumers. We present an open discovery language (ODL) that can completely be controlled by information consumers. ODL is a Big Data technology that embraces the agile design of discovery from the information consumer’s perspective. We want us
19#
發(fā)表于 2025-3-24 21:55:53 | 只看該作者
Eduardo Dulce,Francisco Javier Martinez-de-Pisonsed job title taxonomy discovery component that facilitates discovering more fine-grained job titles than the ones in the industry standard occupation taxonomy. We then describe CARBi, a system for developing and deploying Big Data applications for understanding and improving job-resume dynamics. CA
20#
發(fā)表于 2025-3-25 01:54:06 | 只看該作者
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