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Titlebook: Machine Learning and Data Mining in Pattern Recognition; 14th International C Petra Perner Conference proceedings 2018 Springer Internation

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樓主: 熱情美女
51#
發(fā)表于 2025-3-30 08:55:57 | 只看該作者
Optimizing Support Vector Regression with Swarm Intelligence for Estimating the Concrete Compressio a technique that has been shown to be adequate for estimation through input examples. In this paper, we assess three swarm algorithms, Fish School Search (FSS), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) aiming to optimize the SVR parameter. The results show that both all swa
52#
發(fā)表于 2025-3-30 13:56:26 | 只看該作者
,Automated Contradiction Detection in?Biomedical Literature,wo-phase contradiction detection model that integrates semantic properties as input features to a Learning-to-Rank framework, to accurately identify key findings of a research article. It also relies on negation, antonyms and similarity measures to detect contradictions between findings. The propose
53#
發(fā)表于 2025-3-30 18:28:38 | 只看該作者
Following the Common Thread Through Word Hierarchies, develop a general purpose lexicon or ontology but to identify the structure in a time–ordered sequence of documents. The idea is to identify “l(fā)ead” words by which we are able to follow the common thread in the public discourse on a specific topic. Our taxonomy represents the backbone of the discour
54#
發(fā)表于 2025-3-30 22:38:50 | 只看該作者
55#
發(fā)表于 2025-3-31 04:31:09 | 只看該作者
56#
發(fā)表于 2025-3-31 08:59:06 | 只看該作者
57#
發(fā)表于 2025-3-31 10:07:34 | 只看該作者
58#
發(fā)表于 2025-3-31 17:05:33 | 只看該作者
From Black-Box to White-Box: Interpretable Learning with Kernel Machines,applied. However, a common perception is that they are difficult to interpret by humans due to the inherent black-box nature. This restricts the application of kernel machines in domains where model interpretability is highly required. In this paper, we propose to construct interpretable kernel mach
59#
發(fā)表于 2025-3-31 20:48:36 | 只看該作者
A Two-List Framework for Accurate Detection of Frequent Items in Data Streams,re important in a variety of domains. We propose a new two-list framework for addressing this problem, which extends the state-of-the-art Filtered Space-Saving (FSS) algorithm. An algorithm called FSSA giving an efficient array-based implementation of this framework is presented. An adaptive version
60#
發(fā)表于 2025-4-1 00:32:11 | 只看該作者
Rawan AlSaad,Somaya Al-maadeed,Md. Abdullah Al Mamun,Sabri Boughorbelss in den vergangenen Jahrzehnten Millionen Menschen das Leben gerettet werden konnte. Dennoch sterben j?hrlich immer noch mehrere Millionen Kinder und Erwachsene, die bei Einsatz von Impfungen vor todbringenden Erkankungen bewahrt werden k?nnten. Parallel mit dem Rückgang von durch Impfungen vermei
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