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Titlebook: Hybrid Artificial Intelligent Systems, Part I; 5th International Co Manuel Graña Romay,Emilio Corchado,M. Teresa Garci Conference proceedin

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书目名称Hybrid Artificial Intelligent Systems, Part I
副标题5th International Co
编辑Manuel Graña Romay,Emilio Corchado,M. Teresa Garci
视频video
概述Up-to-date results.Fast-track conference proceedings.State-of-the-art report
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Hybrid Artificial Intelligent Systems, Part I; 5th International Co Manuel Graña Romay,Emilio Corchado,M. Teresa Garci Conference proceedin
描述th The 5 International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010) has become a unique, established and broad interdisciplinary forum for researchers and practitioners who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Overcoming the rigid encasing imposed by the arising orthodoxy in the field of arti- cial intelligence, which has led to the partition of researchers into so-called areas or fields, interest in hybrid intelligent systems is growing because they give freedom to design innovative solutions to the ever-increasing complexities of real-world pr- lems. Noise and uncertainty call for probabilistic (often Bayesian) methods, while the huge amount of data in some cases asks for fast heuristic (in the sense of suboptimal and ad-hoc) algorithms able to give answers in acceptable time frames. High dim- sionality demands linear and non-linear dimensionality reduction and feature extr- tion algorithms, while the imprecision and vagueness call for fuzzy reasoning and linguistic variable forma
出版日期Conference proceedings 2010
关键词Evolution; HAIS; Scheduling; agents; artificial neural network; case-based reasoning; classification; genet
版次1
doihttps://doi.org/10.1007/978-3-642-13769-3
isbn_softcover978-3-642-13768-6
isbn_ebook978-3-642-13769-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berliln Heidelberg 2010
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ehind this approach is that a quantum circuit can compromise on the structural dependency of the bayesian network due to the decoherence errors and also has difficulty in encoding the probability of rare events, which can be overcome with the help of hybrid quantum inference techniques. The error an
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Ilija Tanackov,Dragan Simić,Siniša Sremac,Jovan Tepić,Sunčica Kocić-Tanackovnd to concentrate the text information in the embeddings corresponding to early tokens of the text. Therefore, our findings demonstrate that LRP relevance values at the input of fine-tuning layers are not a good representative of the rationales behind the predicted score.
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Hajira Jabeen,Abdul Rauf Baigisions. Their attempts at change often result in divided communities and further balkanization. This dissolution threatens the integrity of the decentralized space, as desolate systems are susceptible to manipulation. Some believe that the future of the wider decentralised ecosystem will rely on a W
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