標題: Titlebook: Machine Learning Paradigms; Advances in Deep Lea George A. Tsihrintzis,Lakhmi C. Jain Book 2020 The Editor(s) (if applicable) and The Autho [打印本頁] 作者: Denial 時間: 2025-3-21 19:40
書目名稱Machine Learning Paradigms影響因子(影響力)
書目名稱Machine Learning Paradigms影響因子(影響力)學科排名
書目名稱Machine Learning Paradigms網(wǎng)絡公開度
書目名稱Machine Learning Paradigms網(wǎng)絡公開度學科排名
書目名稱Machine Learning Paradigms被引頻次
書目名稱Machine Learning Paradigms被引頻次學科排名
書目名稱Machine Learning Paradigms年度引用
書目名稱Machine Learning Paradigms年度引用學科排名
書目名稱Machine Learning Paradigms讀者反饋
書目名稱Machine Learning Paradigms讀者反饋學科排名
作者: BURSA 時間: 2025-3-21 21:42
Machine Learning Paradigms978-3-030-49724-8Series ISSN 2662-3447 Series E-ISSN 2662-3455 作者: 發(fā)起 時間: 2025-3-22 02:05
George A. Tsihrintzis,Lakhmi C. JainPresents recent advances in Deep Learning Theory and Applications.Includes theoretical advances as well as application areas.Written by experts in the field作者: monopoly 時間: 2025-3-22 05:00 作者: 激怒 時間: 2025-3-22 09:59 作者: 貿(mào)易 時間: 2025-3-22 16:34 作者: Spangle 時間: 2025-3-22 20:35
A Review of Deep Reinforcement Learning Algorithms and Comparative Results on Inverted Pendulum Systritic (A2C). Then, the cart-pole balancing problem in OpenAI Gym environment is considered to implement the deep reinforcement learning methods. Finally, the performance of all methods are comparatively given on the cart-pole balancing problem. The results are presented by tables and figures.作者: Thyroiditis 時間: 2025-3-23 00:40
2662-3447 rts in the field.At the dawn of the 4.th. Industrial Revolution, the field of .Deep Learning. (a sub-field of .Artificial Intelligence. and .Machine Learning.) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplin作者: 踉蹌 時間: 2025-3-23 02:49
Stock Market Forecasting by Using Support Vector Machinesndicators and macroeconomic variables. For evaluating the forecasting ability of SVM, we compare the results obtained by the proposed model with the actual stocks movements for a number of constituents of FTSE-100 in London.作者: HAWK 時間: 2025-3-23 06:50
Survey on Deep Learning Techniques for Medical Imaging Application Arearformance level. This chapter highlights the primary deep learning techniques relevant to the medical imaging application area and provides fundamental knowledge of deep learning methods. Finally, this chapter ends by specifying the current limitation and future research directions.作者: 凝結劑 時間: 2025-3-23 11:38 作者: jeopardize 時間: 2025-3-23 17:15
n und Strukturen auf der technologischen Basis aktueller Bauweisen und Werkstoffe, unter Gesichtspunkten der Zuverl?ssigkeit und der Schadenstoleranz behandelt...978-3-540-33657-0Series ISSN 2945-865X Series E-ISSN 2945-8668 作者: inferno 時間: 2025-3-23 19:27
Arvind W. Kiwelekar,Geetanjali S. Mahamunkar,Laxman D. Netak,Valmik B Nikamn und Strukturen auf der technologischen Basis aktueller Bauweisen und Werkstoffe, unter Gesichtspunkten der Zuverl?ssigkeit und der Schadenstoleranz behandelt...978-3-540-33657-0Series ISSN 2945-865X Series E-ISSN 2945-8668 作者: 外形 時間: 2025-3-23 22:30
Chairi Kiourt,George Pavlidis,Stella Markantonatoun und Strukturen auf der technologischen Basis aktueller Bauweisen und Werkstoffe, unter Gesichtspunkten der Zuverl?ssigkeit und der Schadenstoleranz behandelt...978-3-540-33657-0Series ISSN 2945-865X Series E-ISSN 2945-8668 作者: 激怒某人 時間: 2025-3-24 05:00 作者: 寬容 時間: 2025-3-24 06:33 作者: pester 時間: 2025-3-24 13:02
Krzysztof Kotowski,Katarzyna Stapor,Jeremi Ochabn und Strukturen auf der technologischen Basis aktueller Bauweisen und Werkstoffe, unter Gesichtspunkten der Zuverl?ssigkeit und der Schadenstoleranz behandelt...978-3-540-33657-0Series ISSN 2945-865X Series E-ISSN 2945-8668 作者: hauteur 時間: 2025-3-24 16:02 作者: meretricious 時間: 2025-3-24 20:12
2662-3447 towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other 978-3-030-49726-2978-3-030-49724-8Series ISSN 2662-3447 Series E-ISSN 2662-3455 作者: Carminative 時間: 2025-3-24 23:16 作者: Lice692 時間: 2025-3-25 03:37 作者: 孤僻 時間: 2025-3-25 11:10 作者: Ballerina 時間: 2025-3-25 13:57
Deep Learning for Twitter Sentiment Analysis: The Effect of Pre-trained Word Embeddingits input to be represented as word embeddings, i.e. as?a real-value vector in a high-dimensional space. However, word embedding models need large corpuses for training and presenting a reliable word vector. Thus, there are a number of pre-trained word embeddings freely available to leverage. In eff作者: MITE 時間: 2025-3-25 16:21 作者: discord 時間: 2025-3-25 23:21 作者: 逃避責任 時間: 2025-3-26 02:51
The Implementation and the Design of a Hybriddigital PI Control Strategy Based on MISO Adaptive Neur transient convergence speed and robustness to consecutive step changes in the input setpoints. The effectiveness of this new control approach is demonstrated by extensive simulations conducted in MATLAB software environment followed by a rigorous performance analysis by comparison to MATLAB simulat作者: Modicum 時間: 2025-3-26 04:52 作者: Mystic 時間: 2025-3-26 08:53 作者: 陶器 時間: 2025-3-26 14:52
Book 2020rol., (5) Deep Learning in Feature Vector Processing, and (6). Evaluation of Algorithm Performance...?..This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other 作者: ATOPY 時間: 2025-3-26 17:24 作者: Gratulate 時間: 2025-3-27 00:13
rfens und Optimierens, der Auswahl und der beanspruchungsgerechten Gestaltung von Bauteilen und Strukturen auf der technologischen Basis aktueller Bauweisen und Werkstoffe, unter Gesichtspunkten der Zuverl?ssigkeit und der Schadenstoleranz behandelt...作者: Contracture 時間: 2025-3-27 02:08 作者: uveitis 時間: 2025-3-27 06:46
Naeha Sharif,Uzair Nadeem,Syed Afaq Ali Shah,Mohammed Bennamoun,Wei Liurfens und Optimierens, der Auswahl und der beanspruchungsgerechten Gestaltung von Bauteilen und Strukturen auf der technologischen Basis aktueller Bauweisen und Werkstoffe, unter Gesichtspunkten der Zuverl?ssigkeit und der Schadenstoleranz behandelt...作者: 相符 時間: 2025-3-27 10:46 作者: Myofibrils 時間: 2025-3-27 14:43
Akrivi Krouska,Christos Troussas,Maria Virvourfens und Optimierens, der Auswahl und der beanspruchungsgerechten Gestaltung von Bauteilen und Strukturen auf der technologischen Basis aktueller Bauweisen und Werkstoffe, unter Gesichtspunkten der Zuverl?ssigkeit und der Schadenstoleranz behandelt...作者: epicondylitis 時間: 2025-3-27 18:58 作者: temperate 時間: 2025-3-28 01:44 作者: 到婚嫁年齡 時間: 2025-3-28 02:06
Roxana-Elena Tudoroiu,Mohammed Zaheeruddin,Sorin Mihai Radu,Dumitru Dan Burdescu,Nicolae Tudoroiu mu? das Nennspannungsniveau gesenkt werden, entweder durch Reduzieren der Last oder durch überdimensionieren. Jedenfalls wird die Optimierung des Gesamttragwerks fragwürdig, wenn man Spannungsspitzen nicht oder nur mit erheblichen Zusatzaufwand vermeiden kann.作者: 溫和女人 時間: 2025-3-28 08:37 作者: Fecal-Impaction 時間: 2025-3-28 11:14
rschiede und Unsicherheiten verschiedener M?rkte und Regierungen in einem gemeinsamen Modell abgebildet werden, damit Einflussfaktoren (Fahrzeug Entwicklungserfahrung, Systemkomponenten, Anforderungen, Zukunftsszenarien) beschreibbar werden und der Entwickler eine Methode und ein Werkzeug erh?lt, um作者: idiopathic 時間: 2025-3-28 17:18 作者: 凹處 時間: 2025-3-28 19:04 作者: 窩轉脊椎動物 時間: 2025-3-28 23:11 作者: 切掉 時間: 2025-3-29 06:29
Deep Learning Approaches in Food Recognitionracy in the past, whereas deep learning approaches enabled the identification of food types and their ingredients. The contents of food dishes are typically deformable objects, usually including complex semantics, which makes the task of defining their structure very difficult. Deep learning methods作者: Binge-Drinking 時間: 2025-3-29 10:31
Deep Learning for Twitter Sentiment Analysis: The Effect of Pre-trained Word Embeddingresulted in an enormous source of unstructured data, Big Data. Such a Big Data can be analyzed by companies or organizations with the purpose of extracting customer perspective about their products or services and monitoring marketing trends. Understanding automatically?the opinions behind user-gene作者: GUEER 時間: 2025-3-29 13:15
A Good Defense Is a Strong DNN: Defending the IoT with Deep Neural Networksn particular, it discusses a comprehensive solution to enhancing IoT defense in the form of a new protocol for IoT security. The need for IoT security solutions was revisited after the recent attacks on 120 million devices. In the current work, deep learning is studied for critical security applicat作者: 為現(xiàn)場 時間: 2025-3-29 18:47 作者: 環(huán)形 時間: 2025-3-29 23:45 作者: Inexorable 時間: 2025-3-30 01:49
The Implementation and the Design of a Hybriddigital PI Control Strategy Based on MISO Adaptive Neur’ 2018 International Conference on single-input single-output autoregressive moving average with exogenous input models in terms of accuracy, simplicity and real time fast implementation. The improvement is performed by developing accurate multi-inputs single-output adaptive neuro-fuzzy inference sy作者: 萬神殿 時間: 2025-3-30 05:06 作者: Invertebrate 時間: 2025-3-30 10:56 作者: 障礙 時間: 2025-3-30 14:14 作者: 使入迷 時間: 2025-3-30 19:33
Deep Dense Neural Network for Early Prediction of Failure-Prone Studentsa powerful impetus to the development of a new research area. Deep Learning is a burgeoning subfield of machine learning which is currently getting a lot of attention among scientists offering considerable advantages over traditional machine learning techniques. Deep neural networks have already bee
