作者: 憤世嫉俗者 時間: 2025-3-21 22:44
Elena del Val,Miguel Rebollo,Vicente Botti-Applikationen verkomplizieren. Weiterer Untersuchungsschwerpunkt ist das Vertrags- und Haftungsrecht und wie es den Umgang mit Daten im privatrechtlichen Rahmen bestimmt. Fragen der allgemeinen Rechtsgesch?ftslehre werden im Rahmen der M2M-Kommunikation durch Big Data wieder aktuell und unter neuen作者: famine 時間: 2025-3-22 03:46
José M. Fernández-de-Alba,Rubén Fuentes-Fernández,Juán PavónMining hat der deutsche Gesetzgeber erst kürzlich eingeführt. Hiervon ausgenommen ist aber die kommerzielle Forschung. Vor allem dort bleiben Rechtsfragen bestehen..Der Beitrag untersucht, inwieweit MDM überhaupt urheberrechtlich relevant ist und ob die neuen Schrankenbestimmungen den Bedürfnissen d作者: 使厭惡 時間: 2025-3-22 05:18 作者: 一起平行 時間: 2025-3-22 10:04
Yvonne Gala,ángela Fernández,Julia Díaz,José R. DorronsoroMining hat der deutsche Gesetzgeber erst kürzlich eingeführt. Hiervon ausgenommen ist aber die kommerzielle Forschung. Vor allem dort bleiben Rechtsfragen bestehen..Der Beitrag untersucht, inwieweit MDM überhaupt urheberrechtlich relevant ist und ob die neuen Schrankenbestimmungen den Bedürfnissen d作者: LINE 時間: 2025-3-22 13:20 作者: photopsia 時間: 2025-3-22 20:01
Tiago Oliveira,Jo?o Neves,Ernesto Barbosa,Paulo NovaisMining hat der deutsche Gesetzgeber erst kürzlich eingeführt. Hiervon ausgenommen ist aber die kommerzielle Forschung. Vor allem dort bleiben Rechtsfragen bestehen..Der Beitrag untersucht, inwieweit MDM überhaupt urheberrechtlich relevant ist und ob die neuen Schrankenbestimmungen den Bedürfnissen d作者: 蘑菇 時間: 2025-3-23 01:05 作者: 描述 時間: 2025-3-23 04:20 作者: 治愈 時間: 2025-3-23 06:29
Francisco Charte,Antonio Rivera,María José del Jesus,Francisco Herrera multiple pretrained CNNs (AlexNet, VGG19 and GoogleNet). We test our approach on three different benchmark datasets: Yahoo! Shopping Shoe Image Content, UC Merced Land Use Dataset, and Caltech-UCSD Birds-200-2011 Dataset. Each one represents a different application. Our suggested approach always im作者: Servile 時間: 2025-3-24 00:24
Marco Iannaccone,Massimo Esposito,Giuseppe De Pietro作者: INCH 時間: 2025-3-24 03:12 作者: 討好女人 時間: 2025-3-24 08:30 作者: HAIL 時間: 2025-3-24 13:55
Adrian Popiel,Tomasz Kajdanowicz,Przemyslaw Kazienko,Jean Karl Soler,Derek Corrigan,Vasa Curcin,Roxa作者: ASTER 時間: 2025-3-24 16:48 作者: manifestation 時間: 2025-3-24 22:17 作者: Diverticulitis 時間: 2025-3-25 02:39 作者: 使人入神 時間: 2025-3-25 07:15
Jeng-Shyang Pan,Marios M. Polycarpou,Emilio Corcha作者: Daily-Value 時間: 2025-3-25 10:16
https://doi.org/10.1007/978-3-642-40846-5computer security; data mining; hybrid artificial intelligence; learning algorithms; pattern recognition作者: handle 時間: 2025-3-25 12:11
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/h/image/430055.jpg作者: 漂白 時間: 2025-3-25 18:51
978-3-642-40845-8Springer-Verlag Berlin Heidelberg 2013作者: CIS 時間: 2025-3-25 21:32 作者: LEERY 時間: 2025-3-26 04:02 作者: Intercept 時間: 2025-3-26 05:37 作者: 思考才皺眉 時間: 2025-3-26 11:00 作者: CORD 時間: 2025-3-26 14:38 作者: Indict 時間: 2025-3-26 19:22 作者: 心胸狹窄 時間: 2025-3-26 23:32 作者: 歡呼 時間: 2025-3-27 02:45
A Hybrid Fuzzy Approach to Facility Location Decision-Makingocations is a decision problem which includes quantitative and qualitative criteria simultaneously. This paper discusses facility location problem with focus on logistics distribution center in Novi Sad area, Serbia, micro-location selection. Methodological fuzzy TOPSIS ranking method is proposed an作者: GNAT 時間: 2025-3-27 05:18 作者: 不發(fā)音 時間: 2025-3-27 09:48 作者: 混沌 時間: 2025-3-27 15:03 作者: Encoding 時間: 2025-3-27 20:39 作者: Hearten 時間: 2025-3-27 23:42
Classification Method for Differential Diagnosis Based on the Course of Episode of Carethe episode of care is related with the initial reason for encounter (RfE). However, many distinct diagnoses can follow from a single RfE and they need to be distinguished. The new method exploits the data about whole episodes of care quantified by individual patients’ encounters and it extracts epi作者: OASIS 時間: 2025-3-28 02:25
Movie Recommendation Framework Using Associative Classification and a Domain Ontology Numerous methods have been proposed to provide users with more and more reliable recommendations, from the traditional collaborative filtering approaches to sophisticated web mining techniques. In this work, we propose a complete framework to deal with some important drawbacks still present in curr作者: 起皺紋 時間: 2025-3-28 08:23 作者: inveigh 時間: 2025-3-28 11:08 作者: Iniquitous 時間: 2025-3-28 16:48
A First Approach to Deal with Imbalance in Multi-label Datasets-label datasets. Actually, the imbalance level in multi-label datasets uses to be much larger than in binary or multi-class datasets. Notwithstanding, the proposals on how to measure and deal with imbalanced datasets in multi-label classification are scarce..In this paper, we introduce two measures 作者: Polydipsia 時間: 2025-3-28 19:41
Simulating a Collective Intelligence Approach to Student Team Formationrtunately, looking for optimal or near optimal teams is a costly task for humans due to the exponential number of outcomes. For this reason, in this paper we present a computer-aided policy that facilitates the automatic generation of near optimal teams based on collective intelligence, coalition st作者: Hypopnea 時間: 2025-3-29 00:56
A Counting-Based Heuristic for ILP-Based Concept Discovery Systems Although such systems have a history of more than 20 years and successful applications in various domains, they are still vulnerable to scalability and efficiency issues —mainly due to large search spaces they build. In this study we propose a heuristic to select a target instance that will lead to作者: habile 時間: 2025-3-29 05:16
Extracting Sequential Patterns Based on User Defined Criterian mining algorithms have been developed that mine the set of frequent subsequences satisfying a minimum support constraint in a transaction database. In this paper, a hybrid framework to sequential pattern mining problem is proposed which combines clustering together with a novel pattern extraction 作者: ETHER 時間: 2025-3-29 10:58 作者: 意外的成功 時間: 2025-3-29 11:47 作者: FECT 時間: 2025-3-29 16:38
José M. Fernández-de-Alba,Rubén Fuentes-Fernández,Juán Pavónloge, Noten, Liederbl?tter etc.) aus der Musik zu verstehen. Sie setzt sich das Ziel, aus einer Vielzahl an Daten Zusammenh?nge und Muster zu erkennen. M?gliche Einsatzgebiete sind Music Recommendation, Audio Identification, Playlist Generation oder auch die Hit Song Science – um nur wenige zu nenne作者: 不規(guī)則 時間: 2025-3-29 21:10
Pablo Campillo-Sanchez,Jorge J. Gómez-Sanz,Juan A. Botíaloge, Noten, Liederbl?tter etc.) aus der Musik zu verstehen. Sie setzt sich das Ziel, aus einer Vielzahl an Daten Zusammenh?nge und Muster zu erkennen. M?gliche Einsatzgebiete sind Music Recommendation, Audio Identification, Playlist Generation oder auch die Hit Song Science – um nur wenige zu nenne作者: yohimbine 時間: 2025-3-30 00:53 作者: 我沒有命令 時間: 2025-3-30 04:20
Dragan Simi?,Vasa Svir?evi?,Svetlana Simi?loge, Noten, Liederbl?tter etc.) aus der Musik zu verstehen. Sie setzt sich das Ziel, aus einer Vielzahl an Daten Zusammenh?nge und Muster zu erkennen. M?gliche Einsatzgebiete sind Music Recommendation, Audio Identification, Playlist Generation oder auch die Hit Song Science – um nur wenige zu nenne作者: 拋物線 時間: 2025-3-30 10:27
Tiago Oliveira,Jo?o Neves,Ernesto Barbosa,Paulo Novaisloge, Noten, Liederbl?tter etc.) aus der Musik zu verstehen. Sie setzt sich das Ziel, aus einer Vielzahl an Daten Zusammenh?nge und Muster zu erkennen. M?gliche Einsatzgebiete sind Music Recommendation, Audio Identification, Playlist Generation oder auch die Hit Song Science – um nur wenige zu nenne作者: 公豬 時間: 2025-3-30 13:53
Robert Burduk,Pawel Trajdosas been designed and implemented which employs distributed blob store, custom compression, and custom query algorithm, including filtering, joins and group by. The system has been in operation at eBay for years and is described in [.]. However, large scale ingestion of data to a distributed blob sto作者: QUAIL 時間: 2025-3-30 18:02 作者: FLAX 時間: 2025-3-30 23:20 作者: indubitable 時間: 2025-3-31 01:36
Juan M. Alberola,Elena del Val,Victor Sanchez-Anguix,Vicente Julianthe quality of feature extraction over the text corpus. For supervised learning over text documents, the TF-IDF (Term Frequency-Inverse Document Frequency) weighting factor is one of the most frequently used features in text classification. In this paper, we address two known limitations of TF-IDF b作者: 俗艷 時間: 2025-3-31 07:56
Alev Mutlu,P?nar Karagoz,Yusuf Kavurucuricultural data are usually collected through various sources, such as: Internet of Thing (IoT), sensors, satellites, weather stations, robots, farm equipment, farmers and agribusinesses, etc. Besides, agricultural datasets are very large, complex, unstructured, heterogeneous, non-standardized, and 作者: 合法 時間: 2025-3-31 10:13 作者: Palpate 時間: 2025-3-31 14:57 作者: COW 時間: 2025-3-31 20:57 作者: 輕浮思想 時間: 2025-4-1 01:07 作者: Cognizance 時間: 2025-4-1 01:51 作者: 曲解 時間: 2025-4-1 07:53
Simulating a Collective Intelligence Approach to Student Team Formationructure generation, and Bayesian learning. We carried out simulations in hypothetic classroom scenarios that show that the policy is capable of converging towards the optimal solution as long as students do not have great difficulties evaluating others.作者: surmount 時間: 2025-4-1 12:04
Conference proceedings 2013Image Analysis; Bio-inspired Models and Evolutionary Computation; Learning Algorithms; Systems, MAN, and Cybernetics; Hybrid Intelligent Systems for Data Mining and Applications; Metaheuristics for Combinatorial Optimization and Modelling Complex Systems.作者: 調(diào)整校對 時間: 2025-4-1 16:15
0302-9743 Video and Image Analysis; Bio-inspired Models and Evolutionary Computation; Learning Algorithms; Systems, MAN, and Cybernetics; Hybrid Intelligent Systems for Data Mining and Applications; Metaheuristics for Combinatorial Optimization and Modelling Complex Systems.978-3-642-40845-8978-3-642-40846-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 乏味 時間: 2025-4-1 18:46 作者: 推崇 時間: 2025-4-1 23:28 作者: Basilar-Artery 時間: 2025-4-2 04:52 作者: SUGAR 時間: 2025-4-2 07:26 作者: concentrate 時間: 2025-4-2 12:02
Clinical Careflows Aided by Uncertainty Representation Modelsancer. It also presents two models, one based on Bayesian Networks, and another one on Artificial Neural Networks, for colorectal cancer prognosis. The objective is to observe how well these two ways of obtaining and representing knowledge are complementary, and how the machine learning models perform, attending to the available information.
