灵敏 发表于 2025-3-26 21:23:12
Wei Chen,Lei Zhao,Xu Jiajie,Kai Zheng,Xiaofang Zhourefers to ways of characterizing the mechanism or system behind the observed sig nal/data. Such an identification allows one to predict the system outputs, and as a result this has considerable impact in several areas such as speech processing, pattern recognition, target identification, seismologyintolerance 发表于 2025-3-27 03:59:23
Guohui Li,Changyin Luo,Jianjun Liarifen und der Frachtberech nung für: - Güterfernverkehr (GFT) - Güternahverkehr (GNT) Ei. senbahn-Güterverkehr (DEGT) - Luftfracht (T ACT) Seeschiffahrt Binnenschiffahrt (FTB). Es führt übersichtlich in die einzelnen Tarife ein, nennt die Frachtberechnungsgrundlagen und Besonderheiten der verschie使入迷 发表于 2025-3-27 06:03:40
http://reply.papertrans.cn/103/10216/1021524/1021524_33.pngTalkative 发表于 2025-3-27 13:21:19
http://reply.papertrans.cn/103/10216/1021524/1021524_34.pngHARD 发表于 2025-3-27 14:10:23
Coupled Item-Based Matrix Factorizationrization (MF), mainly rely on the user-item rating matrix, which sometimes is not informative enough for predicting recommendations. To solve these challenges, the objective item attributes are incorporated as complementary information. However, most of the existing methods for inferring the relatiodebouch 发表于 2025-3-27 20:48:33
http://reply.papertrans.cn/103/10216/1021524/1021524_36.pngLethargic 发表于 2025-3-27 23:35:48
http://reply.papertrans.cn/103/10216/1021524/1021524_37.png熄灭 发表于 2025-3-28 05:47:43
A Unified Model for Community Detection of Multiplex Networkstworks. Most approaches aggregate all the links in different simplex networks treating them as being equivalent. However, such aggregation might ignore information of importance in simplex networks. In addition, for each simplex network, the aggregation only considers adjacency relation among nodes,ARK 发表于 2025-3-28 10:16:10
http://reply.papertrans.cn/103/10216/1021524/1021524_39.png是他笨 发表于 2025-3-28 10:45:40
Mining Domain-Specific Dictionaries of Opinion Words the easy access of data through conventional or intelligent crawlers. In order to utilize this information, algorithms make extensive use of word sets with known polarity. This approach is known as dictionary-based sentiment analysis. Such dictionaries are available for the English language. Unfort