標(biāo)題: Titlebook: Advances in Artificial Intelligence; 19th Conference of t Enrique Alba,Gabriel Luque,Rodrigo Gil-Merino Conference proceedings 2021 Springe [打印本頁(yè)] 作者: bile-acids 時(shí)間: 2025-3-21 19:13
書(shū)目名稱(chēng)Advances in Artificial Intelligence影響因子(影響力)
書(shū)目名稱(chēng)Advances in Artificial Intelligence影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Advances in Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Advances in Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Advances in Artificial Intelligence被引頻次
書(shū)目名稱(chēng)Advances in Artificial Intelligence被引頻次學(xué)科排名
書(shū)目名稱(chēng)Advances in Artificial Intelligence年度引用
書(shū)目名稱(chēng)Advances in Artificial Intelligence年度引用學(xué)科排名
書(shū)目名稱(chēng)Advances in Artificial Intelligence讀者反饋
書(shū)目名稱(chēng)Advances in Artificial Intelligence讀者反饋學(xué)科排名
作者: concise 時(shí)間: 2025-3-21 22:59 作者: defray 時(shí)間: 2025-3-22 02:25 作者: ambivalence 時(shí)間: 2025-3-22 06:05
Studying the Effect of Different , Norms in the Context of Time Series Ordinal Classificationook to the public. In principle it is about thermodynamics, especially the simulation of thermo?uid systems. In popular opinion, thermodynamics is considered to be highly abstract and di?cult to comprehend with its many symbols. We endeavor to show the reader how simple and beautiful thermodynamics 作者: 責(zé)任 時(shí)間: 2025-3-22 11:25 作者: Annotate 時(shí)間: 2025-3-22 12:54 作者: FLEET 時(shí)間: 2025-3-22 18:23
Towards Fairness in Classification: Comparison of Methods to Decrease Biaso certain free parameters (e.g., chord line (Leifsson and Koziel 2015a, b, c), time, or frequency (Koziel et al. 2006a, b)), are challenging to simulation-driven design optimization. The surrogate-based optimization techniques described in the previous chapters directly handled the relevant response作者: certain 時(shí)間: 2025-3-22 21:14
Hypothesis Scoring and Model Refinement Strategies for FM-Based RANSACf development and delivery of quality simulations.Offers evi.This book focuses on evidence-based standards for simulation in nursing education. The foundational principle of simulation excellence and its relevance to nursing is defined and infuses throughout the book. ?It also discusses necessary co作者: phytochemicals 時(shí)間: 2025-3-23 04:03 作者: 糾纏 時(shí)間: 2025-3-23 08:07 作者: Accommodation 時(shí)間: 2025-3-23 12:09 作者: embolus 時(shí)間: 2025-3-23 16:56
Influence of the Alternative Objective Functions in the Optimization of the Cyclic Cutwidth Minimizazunehmend an Bedeutung. Nur mit kürzesten Entwicklungszeiten von der Produktidee bis zur Marktreife werden entscheidende Wettbewerbsvorteile gegenüber Mitbewerbern gewonnen. Die Produktion mu? deshalb sowohl kundenorientiert ausgerichtet als auch in der Lage sein, auf neuen Marktanforderungen flexib作者: 圓錐 時(shí)間: 2025-3-23 18:54
ten überprüfung unterziehen kann. Das Lehrbuch wendet sich aber auch an Forscher sowie an Praktiker in der Industrie, die hier Anregungen für Ihre berufliche T?tigkeit finden k?nnen..978-3-211-29697-4作者: ingestion 時(shí)間: 2025-3-23 23:12 作者: 1FAWN 時(shí)間: 2025-3-24 06:00
Human Activity Recognition with Capsule Networks .*A step-by-step description of several algorithms of simulation-based optimization. .*A clear and simple introduction tothe methodology of neural networks. .*A gentle introduction to convergence analysis of some of the methods enumerated above. .*Computer programs for many algorithms of simulation-based optimization. .作者: Solace 時(shí)間: 2025-3-24 10:31
0302-9743 hemes as ambient intelligence and smart environments; computer vision and robotics; constraints, search and planning; creativity and A.I.; education and A.I.; explainable and responsible A.I.; foundation, models and applications of A.I, andothers..978-3-030-85712-7978-3-030-85713-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Glutinous 時(shí)間: 2025-3-24 13:13 作者: Absenteeism 時(shí)間: 2025-3-24 16:03
Coalescence in Branching Processes ordinal regression, evaluating 9 different . norms with 7 ordinal time series datasets from the UEA-UCR time series classification repository and 10 different ordinal classifiers. The results achieved demonstrate that the Pearson’s determination coefficient using the . norm in the computation of th作者: 使增至最大 時(shí)間: 2025-3-24 20:19
Branching Processes and Their Applicationsved by FM-based RANSAC and other RANSAC variants for a benchmark comprising a large number of noisy datasets with varying proportion of outliers and different levels of noise. As it will be shown, FM-based RANSAC outperforms the classical counterparts considered.作者: 淘氣 時(shí)間: 2025-3-25 02:12 作者: photopsia 時(shí)間: 2025-3-25 06:30 作者: choleretic 時(shí)間: 2025-3-25 07:46
Front Mattern Auflage wird die noch relativ neue .Discrete Element Method .in Theorie und Praxis aufgenommen. Einzelne Kapitel wurden erg?nzt, wie zum Beispiel die Simulation und das Monitoring von Speisewasserpumpen..Das Lehrbuch wendet sich an Studierende und Forscher sowie an in der Industrie t?tige Praktike作者: Ceramic 時(shí)間: 2025-3-25 11:51 作者: AMBI 時(shí)間: 2025-3-25 16:14 作者: 清醒 時(shí)間: 2025-3-25 21:14
Towards Fairness in Classification: Comparison of Methods to Decrease Biasterms of the so-called response features whose dependence on the optimization variables is much less nonlinear than for the original responses. Feature-based optimization executed at the level of these feature (or characteristic) points may be computationally much more efficient, even when realized 作者: RODE 時(shí)間: 2025-3-26 02:04
Hypothesis Scoring and Model Refinement Strategies for FM-Based RANSACning (INACSL), Society for Simulation in Healthcare (SSH), National League for Nursing (NLN) and State Boards of Nursing. ?This quick reference title will become the best practice standards for simulation excellence in nursing education. ?.978-3-319-89820-9978-3-319-89821-6作者: 倒轉(zhuǎn) 時(shí)間: 2025-3-26 05:52
Anwendung im Schulbereich dar, da diese F?higkeit zur Abstraktion alters- und schultypabh?ngig ist: Doch auch dort, wo die natürlichen Modelle (Versuchstiere) unersetzbar sind, unterstützt der PC das "Erlebnis" am Tierversuch, wenn er eine übersichtliche und schnelle Versuchs- auswertung liefert. D作者: 表狀態(tài) 時(shí)間: 2025-3-26 12:24 作者: 槍支 時(shí)間: 2025-3-26 13:29
Asynchronous Vector Iteration in?Multi-objective Markov Decision?Processes are in algorithm design, but simulations are a step above that. Usually when writing an algorithm you have a specific outcome in mind. However, when you create a simulation, the system you are modelling can be far more unpredictable than sorting a list, or navigating a maze.?.Simulations in Swift 5作者: 頑固 時(shí)間: 2025-3-26 20:44 作者: 慢跑 時(shí)間: 2025-3-26 23:20
Prediction of Epiretinal Membrane from Retinal Fundus Images Using Deep Learning978-3-7091-9413-3作者: Estimable 時(shí)間: 2025-3-27 02:31
LabelDetection: Simplifying the Use and Construction of Deep Detection Models978-3-8348-9613-1作者: ESO 時(shí)間: 2025-3-27 07:40
ReLU-Based Activations: Analysis and?Experimental Study for Deep Learning978-3-8348-9656-8作者: 閑聊 時(shí)間: 2025-3-27 13:10
Deep Reinforcement and Imitation Learning for Self-driving Tasks978-1-84882-187-3作者: 等級(jí)的上升 時(shí)間: 2025-3-27 14:41
Evaluation of the Transformer Architecture for Univariate Time Series?Forecasting978-3-322-92755-2作者: 易碎 時(shí)間: 2025-3-27 18:59
A Similarity Measure of Gaussian Process Predictive Distributions978-3-663-02915-1作者: Polydipsia 時(shí)間: 2025-3-28 00:07
Towards Automatic Bayesian Optimization: A First Step Involving Acquisition Functions978-3-322-88017-8作者: Trigger-Point 時(shí)間: 2025-3-28 03:18
Solving the Permutation Heijunka Flow Shop Scheduling Problem with Non-unit Demands for Jobs978-3-642-47943-4作者: impaction 時(shí)間: 2025-3-28 09:58
0302-9743 hich was cancelled due to the COVID-19 pandemic, amalgamated with CAEPIA 2021, and held in Malaga, Spain, during September 2021..The 25 full papers presented were carefully selected from 40 submissions. The Conference of the Spanish Association of Artificial Intelligence (CAEPIA) is a biennial forum作者: bronchiole 時(shí)間: 2025-3-28 10:33 作者: 迫擊炮 時(shí)間: 2025-3-28 14:36
Branching Random Walks and Martingales, problem: Mixed Integer Linear Programming and a Metaheuristic based on Multistart and Local Search. The two proposed procedures are tested using instance set Nissan-9Eng.I, in both cases giving rise to highly satisfactory performance both in quality of solutions obtained and in the CPU times required.作者: KIN 時(shí)間: 2025-3-28 21:10
Branching Processes and Their Applicationserivative. However, this function has some known drawbacks that gave rise to new proposals of alternatives activation functions based on ReLU. In this work, we describe, analyse and compare different recently proposed alternatives to test whether these functions improve the performance of deep learning models regarding the standard ReLU.作者: deforestation 時(shí)間: 2025-3-29 02:56 作者: 改進(jìn) 時(shí)間: 2025-3-29 05:39 作者: outset 時(shí)間: 2025-3-29 10:49
Branching Random Walks and Martingales,we propose an attempt of automatic BO by exploring several heuristics that automatically tune the BO AF. We illustrate the effectiveness of these heurisitcs in a set of benchmark problems and a hyperparameter tuning problem.作者: Migratory 時(shí)間: 2025-3-29 14:41 作者: 婚姻生活 時(shí)間: 2025-3-29 16:50 作者: 無(wú)畏 時(shí)間: 2025-3-29 19:44 作者: asthma 時(shí)間: 2025-3-30 00:48
Ekaterina Antonenko,Elena Yarovayand steering wheel. To be efficient, the state is a representation in the feature space extracted from the RGB images with a variational autoencoder, which is trained before running any simulation with a loss that attempts to reconstruct three images, the same RGB input, the depth image and the segmented image.作者: 帽子 時(shí)間: 2025-3-30 07:22 作者: preeclampsia 時(shí)間: 2025-3-30 09:41
The Age-Dependent Process: Markov Case,and basic animal conducts, while keeping behaviors of the organisms interrelated. Multiple relations between different species were observed on the generated organisms. Furthermore, the performance of the organisms was comparable to that of a human player.作者: CROAK 時(shí)間: 2025-3-30 15:21
Conference proceedings 2021ancelled due to the COVID-19 pandemic, amalgamated with CAEPIA 2021, and held in Malaga, Spain, during September 2021..The 25 full papers presented were carefully selected from 40 submissions. The Conference of the Spanish Association of Artificial Intelligence (CAEPIA) is a biennial forum open to r作者: 增減字母法 時(shí)間: 2025-3-30 19:34
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/146720.jpg作者: botany 時(shí)間: 2025-3-30 21:48
Advances in Artificial Intelligence978-3-030-85713-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: nephritis 時(shí)間: 2025-3-31 01:38 作者: amenity 時(shí)間: 2025-3-31 05:48
The Process of Mutant Ancestors,es allows ophthalmologists to early detect and diagnose this disease; however, the manual interpretation of images is a time-consuming task. In spite of the existence of several computer vision tools for analysing retinal fundus images, they are mainly focused on the diagnosis of diabetic retinopath作者: Indebted 時(shí)間: 2025-3-31 10:55
https://doi.org/10.1007/978-3-642-51536-1lt to adopt these techniques due to several reasons. First of all, using detection models requires some knowledge about the library employed to built them; and, in general, it is not usually possible to interact with the predictions produced by the models. In addition, training custom models is also作者: 抗原 時(shí)間: 2025-3-31 15:54
https://doi.org/10.1007/978-3-319-31641-3h scenarios with tight time restrictions, such as online execution systems. We have trained this architecture on a video game environment used as a standard testbed for intelligent systems applications. We experiment with different values of the discount rate . and show the importance of long-term t作者: SOW 時(shí)間: 2025-3-31 20:38 作者: 煩人 時(shí)間: 2025-3-31 22:38
Coalescence in Branching Processesfollow a natural order relationship between them. In this context, a well-known approach for time series nominal classification was previously used: the Shapelet Transform (ST). The exploitation of the ordinal information was included in two steps of the ST algorithm: 1) by using the Pearson’s deter
