作者: 奇怪 時(shí)間: 2025-3-21 20:45 作者: 性冷淡 時(shí)間: 2025-3-22 03:19 作者: GUMP 時(shí)間: 2025-3-22 06:35 作者: 惡臭 時(shí)間: 2025-3-22 10:47 作者: Ischemic-Stroke 時(shí)間: 2025-3-22 14:02 作者: Ischemic-Stroke 時(shí)間: 2025-3-22 20:12
A Text-Based Regression Approach to Predict Bug-Fix Time,M5P model tree, Support Vector Machine (SVM) and Random Forests algorithms. Experimental results show the model is effective, in fact, they are slightly better than all the ones known in the literature. In the future, we will use and compare other different regression approaches to select the best one for a specific data set.作者: compassion 時(shí)間: 2025-3-22 23:03
A Latitudinal Study on the Use of Sequential and Concurrency Patterns in Deviance Mining,l and concurrency patterns is performed through experiments on two real-world event logs, by varying both classification and feature extraction algorithms. Our results show that the pattern representation has limited impact on classification performance, while the use of concurrency patterns provides more meaningful insights on deviant behavior.作者: Presbyopia 時(shí)間: 2025-3-23 04:18 作者: Occupation 時(shí)間: 2025-3-23 08:40 作者: macabre 時(shí)間: 2025-3-23 09:54
Book 2020that have recently been developed to preserve the richness of the data and allow us to efficiently and effectively identify the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource for data science researchers and professionals in academia and industry.作者: PACK 時(shí)間: 2025-3-23 16:08 作者: medieval 時(shí)間: 2025-3-23 19:38 作者: 極端的正確性 時(shí)間: 2025-3-24 01:42 作者: novelty 時(shí)間: 2025-3-24 05:18
Efficient Infrequent Pattern Mining Using Negative Itemset Tree,is paper, we propose an infrequent pattern mining algorithm using a top-down and depth-first traversing strategy to avoid the two obstacles above. A negative itemset tree is employed to accelerate the mining process with its dataset compressing and fast counting ability.作者: LAVE 時(shí)間: 2025-3-24 09:25 作者: semble 時(shí)間: 2025-3-24 13:02 作者: 不可比擬 時(shí)間: 2025-3-24 15:55
1860-949X iciently and effectively identify the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource for data science researchers and professionals in academia and industry.978-3-030-36619-3978-3-030-36617-9Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 陰郁 時(shí)間: 2025-3-24 21:20
Lebendige Stadt- und Ortskerne,iminator network to propagate the information, which can be viewed as adversarial networks in a supervised context by forcing the discriminator to identify domain labels. The proposed method HANN not only captures the distinct properties of each domain, but also shares common information across mult作者: NICHE 時(shí)間: 2025-3-25 02:13
Stadterneuerung und St?dtische Kulturing. Taking into consideration the complexity of the Albanian language and the little research done in NLP for Albanian, the results achieved are promising. The results obtained from the experiments demonstrate that the NER performance can be further improved by using a larger annotated corpus to tr作者: inspiration 時(shí)間: 2025-3-25 04:56 作者: fulcrum 時(shí)間: 2025-3-25 08:02
Stadterneuerung unter Unsicherheitirst case, we focus on a sentence-based emotion detection problem, aimed at classifying the textual units into a set of pre-defined emotion categories. The second analysis is performed through a keyword extraction approach, aimed at finding representative generic word sets in the form of prototypes 作者: condemn 時(shí)間: 2025-3-25 13:23 作者: 易碎 時(shí)間: 2025-3-25 19:26 作者: BARK 時(shí)間: 2025-3-25 20:08
A Named Entity Recognition Approach for Albanian Using Deep Learning,ing. Taking into consideration the complexity of the Albanian language and the little research done in NLP for Albanian, the results achieved are promising. The results obtained from the experiments demonstrate that the NER performance can be further improved by using a larger annotated corpus to tr作者: 頭盔 時(shí)間: 2025-3-26 02:07 作者: FIN 時(shí)間: 2025-3-26 07:35
Classification and Clustering of Emotive Microblogs in Albanian: Two User-Oriented Tasks,irst case, we focus on a sentence-based emotion detection problem, aimed at classifying the textual units into a set of pre-defined emotion categories. The second analysis is performed through a keyword extraction approach, aimed at finding representative generic word sets in the form of prototypes 作者: 反感 時(shí)間: 2025-3-26 11:41 作者: chemical-peel 時(shí)間: 2025-3-26 15:24 作者: 招人嫉妒 時(shí)間: 2025-3-26 20:06
978-3-030-36619-3Springer Nature Switzerland AG 2020作者: 去才蔑視 時(shí)間: 2025-3-27 00:05
Bestandsentwicklung und Wohnungsversorgung,al database. In various?practical applications such as science, medical and accident data analysis, frequent patterns usually represent obvious and expected phenomena. Really interesting information might hide in obscure rarity. Existing rare pattern mining approaches are mainly adapted from frequen作者: Resection 時(shí)間: 2025-3-27 04:48 作者: Restenosis 時(shí)間: 2025-3-27 06:41 作者: synchronous 時(shí)間: 2025-3-27 11:07
Ludmilla Horwath-Gumulowa,Ryszard Jurkowski a concept lattice. FCA is generalized to more complex data using pattern structure. In this article, we explore the relation of biclustering and pattern structure. More precisely, we?study the order-preserving biclusters, whose rows induce the same linear order across all columns.作者: cyanosis 時(shí)間: 2025-3-27 13:39 作者: 我不重要 時(shí)間: 2025-3-27 21:17 作者: BRAND 時(shí)間: 2025-3-28 01:53
The West … and the rest of the Netherlands!utions. Deviance mining approaches typically extract representative subprocesses characterizing normal/deviant behaviors from an event log and use these subprocesses as features for classification. Existing approaches mainly differ for the employed?feature extraction?technique and, in particular, fo作者: 動(dòng)物 時(shí)間: 2025-3-28 03:43 作者: 加強(qiáng)防衛(wèi) 時(shí)間: 2025-3-28 09:44
Wie Quartier und Management Zusammenkamenser requests. To guarantee the continuation of the services, the providers should keep the typical activities?of control and management of the network aligned with respect to these changes. They should handle both the evolution of the network and complexity of the infrastructure, while, actually, mo作者: Little 時(shí)間: 2025-3-28 12:59 作者: 躺下殘殺 時(shí)間: 2025-3-28 16:25
Gregor Langenbrinck,Thomas Fischerd for malicious applications developed by cyber attackers with the intention of gaining access or causing damage to a computer device or network, often while the victim remains oblivious to the fact there’s been a compromise. Android security requires machine learning approaches to quickly and accur作者: 碎石頭 時(shí)間: 2025-3-28 22:12
Stadterneuerung in Klein- und Mittelst?dtenre a principled semantics of query answering. Unfortunately, the computation of certain query answers is a coNP-hard problem. To make query answering feasible in practice, recent research has focused on developing polynomial time algorithms computing a sound (but possibly incomplete) set of certain 作者: 有說(shuō)服力 時(shí)間: 2025-3-28 23:57
Gemeinsam aktiv den Ort gestaltens to provide advanced information about the walker?bringing the smartphone. In particular, smartphone sensors outputs are used to recognize the identity of the walker and the pose of the device during?the walk. If the aforementioned information was known, it could be used to improve the functionalit作者: 迷住 時(shí)間: 2025-3-29 06:26 作者: Ambiguous 時(shí)間: 2025-3-29 10:11 作者: cavity 時(shí)間: 2025-3-29 14:26 作者: 團(tuán)結(jié) 時(shí)間: 2025-3-29 17:17 作者: 寄生蟲 時(shí)間: 2025-3-29 22:20 作者: inculpate 時(shí)間: 2025-3-30 00:31 作者: mydriatic 時(shí)間: 2025-3-30 04:35 作者: Esophagitis 時(shí)間: 2025-3-30 10:26
Efficient Infrequent Pattern Mining Using Negative Itemset Tree,al database. In various?practical applications such as science, medical and accident data analysis, frequent patterns usually represent obvious and expected phenomena. Really interesting information might hide in obscure rarity. Existing rare pattern mining approaches are mainly adapted from frequen作者: 有危險(xiǎn) 時(shí)間: 2025-3-30 12:29
Hierarchical Adversarial Training for Multi-domain Adaptive Sentiment Analysis,alysis usually involves multiple different domains, and the labeled data is often difficult to obtain. In this paper we propose a hierarchical adversarial neural network (HANN) for adaptive?sentiment analysis. Unlike most existing deep learning based methods, the proposed method HANN is able to shar作者: 侵略者 時(shí)間: 2025-3-30 18:27
Optimizing C-Index via Gradient Boosting in Medical Survival Analysis,n performing survival analysis, we deal with a data set with missing values, and changes over time. Such data are difficult to be used as a basis to predict survival of patients, as these data are complex and scarce. In survival analysis methods, usually partial log likelihood is maximized following
