標(biāo)題: Titlebook: Advances in Artificial Intelligence; 32nd Canadian Confer Marie-Jean Meurs,Frank Rudzicz Conference proceedings 2019 Springer Nature Switze [打印本頁] 作者: enamel 時(shí)間: 2025-3-21 19:45
書目名稱Advances in Artificial Intelligence影響因子(影響力)
書目名稱Advances in Artificial Intelligence影響因子(影響力)學(xué)科排名
書目名稱Advances in Artificial Intelligence網(wǎng)絡(luò)公開度
書目名稱Advances in Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Artificial Intelligence被引頻次
書目名稱Advances in Artificial Intelligence被引頻次學(xué)科排名
書目名稱Advances in Artificial Intelligence年度引用
書目名稱Advances in Artificial Intelligence年度引用學(xué)科排名
書目名稱Advances in Artificial Intelligence讀者反饋
書目名稱Advances in Artificial Intelligence讀者反饋學(xué)科排名
作者: Conduit 時(shí)間: 2025-3-21 21:07
https://doi.org/10.1007/978-3-030-18305-9computer vision; control methods; data security; distributed artificial intelligence; image processing; i作者: Fortify 時(shí)間: 2025-3-22 00:53
978-3-030-18304-2Springer Nature Switzerland AG 2019作者: patriarch 時(shí)間: 2025-3-22 05:56
Conference proceedings 2019nada, in May 2019..The 27 regular papers and 34 short papers presented together with 8 Graduate Student Symposium papers and 4 Industry Track papers were carefully reviewed and selected from 132 submissions. The focus of the conference was on artificial intelligence research and advanced information and communications technology...?.作者: COMMA 時(shí)間: 2025-3-22 10:15
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/146718.jpg作者: CHOIR 時(shí)間: 2025-3-22 14:18 作者: FEAT 時(shí)間: 2025-3-22 18:29
Eventcontrolling in der Hotellerieg two named entities in a sentence. Rule acquisition is data-driven and requires little supervision. Given an arbitrary relation, we identify, in a large corpus, pairs of entities that are linked by the relation and then gather, score and rank other phrases that link the same entity pairs. We experi作者: 緯度 時(shí)間: 2025-3-23 00:14
https://doi.org/10.1007/978-3-658-28945-4 state from tone and body language, they can use the fragments of speech that they (over)hear. We show that emotions – as conventionally framed – are difficult to detect. We suggest, from empirical results, that this is because emotions are the wrong granularity; and that emotions contain subemotion作者: 多余 時(shí)間: 2025-3-23 05:00
Branchenspezifisches Controllinged from start to goal or vice versa. Analysis reveals it is preferable to approach observed . nodes from the bottom. Hence, a measure, called ., is suggested to decide whether the search should run from start to goal or from goal to start. One salient feature is that depth can be computed during a p作者: Vital-Signs 時(shí)間: 2025-3-23 09:10 作者: 起草 時(shí)間: 2025-3-23 10:31
Andreas Herrmann,Ralf Jasny,Ingrid Vollmerithm differs from other message passing algorithms such as Lazy Propagation in the message construction process. The message construction process in Simple Propagation identifies relevant potentials and variables to eliminate using the .-principle. This paper introduces Simple Propagation as a solut作者: conduct 時(shí)間: 2025-3-23 16:42
Marketing für Werkst?tten für Behindertele multiple queries, the lifted junction tree algorithm (LJT) uses a first-order cluster representation of a model, employing LVE as a subroutine in its steps. LVE and LJT can only handle certain evidence. However, most events are not certain. The purpose of this paper is twofold, (i) to adapt LVE, 作者: 滑稽 時(shí)間: 2025-3-23 19:14
Andrea Gr?ppel-Klein,Dorothea Bauniltering (CF) is the most widely used technique in recommender systems for predicting the interests of a user on particular items. In traditional CF preferences of all items from many users are collected in the prediction process and this may include items that are irrelevant to the . (the user for 作者: CLAN 時(shí)間: 2025-3-24 00:58 作者: airborne 時(shí)間: 2025-3-24 04:25
,Einführung in die Untersuchung,e novel self attention-based architectures to improve the performance of adversarial latent code-based schemes in text generation. Adversarial latent code-based text generation has recently gained a lot of attention due to its promising results. In this paper, we take a step to fortify the architect作者: Cleave 時(shí)間: 2025-3-24 09:07 作者: 極深 時(shí)間: 2025-3-24 12:49
,Einführung in die Untersuchung,R) and question answer pairing (QAP). Most sentence pair modelling work has looked only at the local context to generate a distributed sentence representation without considering the mutual information found in the other sentence. The proposed attentive encoder uses the representation of one sentenc作者: 字的誤用 時(shí)間: 2025-3-24 17:35
,Einführung in die Untersuchung,In this work, we introduce a framework to achieve this using matrix decomposition and subspace learning. Our central contribution is a novel similarity measure for data instances that uses the basis obtained from matrix decomposition of the dataset. Using this similarity measure, we propose several 作者: 裂口 時(shí)間: 2025-3-24 21:31 作者: 護(hù)身符 時(shí)間: 2025-3-25 00:58 作者: 發(fā)展 時(shí)間: 2025-3-25 06:45 作者: 獸皮 時(shí)間: 2025-3-25 07:55 作者: gorgeous 時(shí)間: 2025-3-25 13:06
Branching in Colonial Hydroids,ferent RL tasks is an increasingly active area of research. Following Baxter’s formalism for transfer, the corresponding RL question considers the benefit that an RL agent can achieve on new tasks based on experience from previous tasks in a common “l(fā)earning environment”. We address this in the spec作者: Glossy 時(shí)間: 2025-3-25 18:43
Weakly Supervised, Data-Driven Acquisition of Rules for Open Information Extraction978-3-322-99961-0作者: Cpap155 時(shí)間: 2025-3-25 23:39 作者: 具體 時(shí)間: 2025-3-26 03:12
Exploiting Symmetry of Independence in d-Separation978-3-658-30678-6作者: PHONE 時(shí)間: 2025-3-26 06:52 作者: FIR 時(shí)間: 2025-3-26 11:51 作者: 獸皮 時(shí)間: 2025-3-26 13:28
Categorizing Emails Using Machine Learning with Textual Featuresmulation to gain understanding and inform policy decisions and action. Techniques represented in this volume include Monte Carlo simulation, system dynamics and agent based modeling..978-1-4939-0100-5978-1-4614-1665-4作者: 植物學(xué) 時(shí)間: 2025-3-26 18:07 作者: Eulogy 時(shí)間: 2025-3-27 00:29 作者: champaign 時(shí)間: 2025-3-27 01:08 作者: Commodious 時(shí)間: 2025-3-27 06:32
Personality Extraction Through LinkedInsing the text successfully and a concise overview of the theories and best practices of simulation-based education and debriefing. Next, clinical scenarios are presented by topic, including general care, cardiology, respiratory, neurology, trauma, obstetrics, pediatrics and toxicology. Each section 作者: NOMAD 時(shí)間: 2025-3-27 10:36 作者: Guaff豪情痛飲 時(shí)間: 2025-3-27 15:48 作者: extinguish 時(shí)間: 2025-3-27 21:06
SALSA-TEXT: Self Attentive Latent Space Based Adversarial Text Generationsbildung eines jeden Studierenden am Krankenbett bieten k?nnen. ?hnliche Limitationen finden sich auch in den Weiterbildungen der sehr praktisch orientierten chirurgischen F?chern, die eine stringente manuelle Ausbildung im klinischen Routinebetrieb h?ufig nur begrenzt leisten k?nnen (auch ? Kap. 23作者: 遺留之物 時(shí)間: 2025-3-27 23:06
Efficient Transformer-Based Sentence Encoding for Sentence Pair Modellingn Grenzsituationen erfa?t werden, wobei sich die Experimentatoren darüber im klaren sein müssen, da? sie — mindestens im sozialen Bereich — die komplexe Wirklichkeit nicht erreichen. Simulationsexperimente erm?glichen deshalb nur eine n?herungsweise Darstellung der komplexen Realsysteme mittels dyna作者: AUGUR 時(shí)間: 2025-3-28 05:15
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning Reaktion auf Krisen, der Krise des Medizinstudiums und der Krise in der Entwicklung neuer politischer Konzeptionen. Um die Fülle der mit dem Begriff Krise verknüpften Bedeutungsschattierungen aufzuweisen, hat Hermann gezeigt, da? dem Wort in psychologischen und soziologischen Fachpublikationen h?uf作者: 毀壞 時(shí)間: 2025-3-28 06:27 作者: ANNUL 時(shí)間: 2025-3-28 10:39
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasksen. .Aber auch dann, wenn der Programmcode für Steuerungs- oder Regelungsfunktionen nicht automatisch aus dem Simulationsmodell heraus generiert werden soll, kann die Simulation den Entwicklungsprozess unterstützen. Es k?nnen Tests mit einem virtuellen Prototypen gemacht werden, um Verfahren, Funkti作者: 牽索 時(shí)間: 2025-3-28 14:43 作者: 招致 時(shí)間: 2025-3-28 19:22 作者: Vaginismus 時(shí)間: 2025-3-29 00:42
https://doi.org/10.1007/978-3-8350-9367-6ens that deep learning models provide. Eventually, a bagged voting model was selected which combines the predictive power of the top eight models, with accuracy of 92.7%, surpassing the performance of any of the individual models.作者: Default 時(shí)間: 2025-3-29 03:36
Andrea Gr?ppel-Klein,Dorothea Baunat optimizes the searching behaviour of user-item subgroups in CF. The proposed algorithm is experimented and compared with several state-of-the-art algorithms using benchmark datasets. Accuracy metrics such as precision, recall and mean average precision is used to find the top . recommended items.作者: Enliven 時(shí)間: 2025-3-29 07:35
Andreas Herrmann,Ralf Jasny,Ingrid Vollmeralidate our idea using different datasets and show that our proposed approach yields better performance in terms of the BLEU score and Jensen-Shannon distance (JSD) measure compared to traditional GAN-based text generation approaches without pre-training.作者: OFF 時(shí)間: 2025-3-29 11:33
Branching in Colonial Hydroids,gent that learns optimal value functions for these in an initial phase and deploys the associated optimal policies as options in the main phase, can achieve a drastic reduction in cumulative regret compared to baseline approaches.作者: Brocas-Area 時(shí)間: 2025-3-29 15:45
Front Mattersondern vielmehr durch deren Zusammenwirken. Manche Kom- ponenten wirken stark aufeinander, andere nur schwach, weitere schlie?lich haben überhaupt nichts miteinander zu tun. Wir verwenden das Wort ‘System‘, um damit eine Anzahl von Bestandteilen abzugrenzen, die untereinander relativ stark, mit ihr作者: 無力更進(jìn) 時(shí)間: 2025-3-29 23:39
Categorizing Emails Using Machine Learning with Textual Featuresnform decisions.Contains authored papers by scholars working.Public policy and management problems have been described as poorly defined, messy, squishy, unstructured, intractable, and wicked. In a word, they are complex. This book illustrates the development and use of simulation models designed to作者: Cacophonous 時(shí)間: 2025-3-30 03:55 作者: BRIEF 時(shí)間: 2025-3-30 04:44 作者: 責(zé)怪 時(shí)間: 2025-3-30 12:12 作者: 聽寫 時(shí)間: 2025-3-30 16:15 作者: Melodrama 時(shí)間: 2025-3-30 17:58
SALSA-TEXT: Self Attentive Latent Space Based Adversarial Text Generation mehr tolerierbar, dass eine praktische Fertigkeit der ?rztlichen Routine zum ersten Mal am Patienten ?probiert? wird, zudem besteht ein berechtigter ethischer und rechtlicher Anspruch der Patienten an einen jederzeitigen fach?rztlichen Behandlungsstandard [7]. Die mit dem medizinischen Fortschritt 作者: 鉗子 時(shí)間: 2025-3-30 22:33 作者: 運(yùn)動(dòng)的我 時(shí)間: 2025-3-31 03:00
Efficient Transformer-Based Sentence Encoding for Sentence Pair Modellingder Lehrenden haupts?chlich von der guten Eignung als didaktisches Instrument bestimmt, so werden Simulationen in der Forschung zunehmend angewendet, um mehr über die Eigenschaften komplexer Systeme zu erfahren, um quasi-experimentell das Zusammenwirken von Modellbestandteilen sowie die “Richtigkeit作者: AORTA 時(shí)間: 2025-3-31 06:04 作者: considerable 時(shí)間: 2025-3-31 11:02 作者: omnibus 時(shí)間: 2025-3-31 16:38
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks. Mechanik, Elektrik, So.ware) nicht sequenziell sondern parallel. Dabei liegt es in der Natur der Sache, dass sich ?nderungen ergeben k?nnen, die allen Beteiligten bekannt sein müssen. Eine konsistente Dokumentation, z. B. in Formeiner gemeinsamen Spezifikation, ist dafür Voraussetzung. Ein m?glich作者: 傾聽 時(shí)間: 2025-3-31 20:16
Identifying Misaligned Spans in Parallel Corpora Using Change Point Detectionlbildung. Dabei werden die mathematischen Zusammenh?nge zwischen den Eingangs- und Ausgangsgr??en des Systems durch Gleichungen formuliert. In vielen F?llen haben wir es dabei mit Differenzialgleichungen oder mit Differenzialgleichungssystemen zu tun. Dadurch wird auch die Struktur des Modells festg作者: 羊欄 時(shí)間: 2025-3-31 23:17
In Vino Veritas: Estimating Vineyard Grape Yield from Images Using Deep Learninghreibung eines dynamischen Systems in Form von Differentialgleichungen und übertragungsfunktionen. Letzere erlauben eine komfortable Modellbildung von Strecken, Me?strecken, Reglern etc. Im Laufe der Entwicklung wurde von Anwendern aus dem Gebiet der Regelungstechnik der Wunsch nach der M?glichkeit 作者: Flirtatious 時(shí)間: 2025-4-1 04:33
Options in Multi-task Reinforcement Learning - Transfer via Reflection-Source-Schaltungssimulator von Grund auf.Basierend auf eineDieses Buch bietet eine eingehende Diskussion zur Schaltungssimulation, indem es grundlegende elektrische Schaltungstheorie mit Python-Programmierung kombiniert. Es schlie?t eine Informationslücke, indem es die Entwicklung von Python Power 作者: membrane 時(shí)間: 2025-4-1 06:21 作者: 豐富 時(shí)間: 2025-4-1 13:45 作者: mortuary 時(shí)間: 2025-4-1 18:14 作者: 疏遠(yuǎn)天際 時(shí)間: 2025-4-1 19:54
0302-9743 on, ON, Canada, in May 2019..The 27 regular papers and 34 short papers presented together with 8 Graduate Student Symposium papers and 4 Industry Track papers were carefully reviewed and selected from 132 submissions. The focus of the conference was on artificial intelligence research and advanced i
