花费
发表于 2025-3-23 09:48:47
Emanuele Salerno,Pasquale Savino,Anna Tonazzini. These tunneling experiments are obtained by contacting metallic SWNTs to two nanofabricated gold electrodes. Electrostatic force microscopy (EFM) measurements show that the measured resistance is due to the contact resistance from the transport barrier formed at the electrode/nanotube junction. Th
喃喃而言
发表于 2025-3-23 15:10:32
Gianni Costa,Alfredo Cuzzocrea,Giuseppe Manco,Riccardo Ortale stock of the progress made to date. It is my hope that this book will not only provide a useful account of much of this progress, but that it will also help stimulate the future vigorous development of this field.978-1-4613-8542-4Series ISSN 0072-7830 Series E-ISSN 2196-9701
mosque
发表于 2025-3-23 20:58:50
Andrea Manconi,Patricia Rodriguez-Tomé stock of the progress made to date. It is my hope that this book will not only provide a useful account of much of this progress, but that it will also help stimulate the future vigorous development of this field.978-1-4613-8542-4Series ISSN 0072-7830 Series E-ISSN 2196-9701
Inkling
发表于 2025-3-23 22:11:39
http://reply.papertrans.cn/59/5828/582794/582794_14.png
动作谜
发表于 2025-3-24 02:43:40
http://reply.papertrans.cn/59/5828/582794/582794_15.png
托运
发表于 2025-3-24 07:58:59
Automatic Document Layout Analysis through Relational Machine Learning,nately, due to the variety of document styles and formats, the automatically found structure often needs to be manually adjusted. We propose the application of supervised Machine Learning techniques to infer correction rules to be applied to forthcoming documents. A first-order logic representation
门闩
发表于 2025-3-24 14:02:31
Transductive Learning of Logical Structures from Document Images, exploiting the large amount of information conveyed in the unlabeled documents and by the contiguity of the concept of positive autocorrelation with the smoothness assumption which characterizes the transductive setting. The classifier takes advantage of discovered emerging patterns that permit us
羽毛长成
发表于 2025-3-24 15:03:57
Mining Biomedical Text towards Building a Quantitative Food-Disease-Gene Network,modules: (1) named entity recognition, which extracts five types of entities including foods, chemicals, diseases, proteins and genes; (2) relationship extraction: A verb-centric approach is implemented to extract binary relationships between two entities; (3) relationship polarity and strength anal
shrill
发表于 2025-3-24 20:24:36
http://reply.papertrans.cn/59/5828/582794/582794_19.png
旋转一周
发表于 2025-3-24 23:12:42
http://reply.papertrans.cn/59/5828/582794/582794_20.png