標(biāo)題: Titlebook: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track; European Conference, Yuxiao Dong,Nicolas Kourtellis,Jose [打印本頁(yè)] 作者: Systole 時(shí)間: 2025-3-21 18:08
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track影響因子(影響力)
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track影響因子(影響力)學(xué)科排名
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track被引頻次
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track被引頻次學(xué)科排名
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track年度引用
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track年度引用學(xué)科排名
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track讀者反饋
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track讀者反饋學(xué)科排名
作者: browbeat 時(shí)間: 2025-3-21 23:19
rning goals for PT lesson planning, and the contributions of the group products (written or oral reports of the lesson study) to the learnercenteredness of the experiences. Differences influencing prospective teacher learning included the extent of focus on mathematics knowledge, extent of focus on 作者: glacial 時(shí)間: 2025-3-22 03:59
s Institute for Learning (RBDIL) and two teacher researcher/participants in the lesson study, describes findings from one complete cycle of lesson study activities in an emerging model of school-based professional development using a modified Japanese lesson study within the structure of an off-camp作者: 彎曲道理 時(shí)間: 2025-3-22 04:47 作者: 冒煙 時(shí)間: 2025-3-22 10:49
Bharath Sudharsan,Pankesh Patel,John G. Breslin,Muhammad Intizar Ali but not necessarily . they teach at SMP Sari. At last, I showed how teachers legitimatized their professional expertise in relation to the institutional culture borrowing the Mode of Authority Strategy by Dowling (., Sense, 2009). It showed bureaucratic organizational structure worked negatively an作者: 憂傷 時(shí)間: 2025-3-22 13:09
Lorenz Wendlinger,Emanuel Berndl,Michael Granitzerteachers did not share an interest in how to teach—especially in providing scaffolding to students—an exchange of pedagogic expertise on how to support student learning did not take place. In the hierarchical organizational structure, lesson study did not promote collaboration in professional develo作者: 完整 時(shí)間: 2025-3-22 20:43 作者: Gudgeon 時(shí)間: 2025-3-22 23:56
uliarities with generalized scientific information and practices in a coherent, logical fashion to a comprehensive volume on a very actual topic of global significance. In light of a globally increasing energy gap, this book has a distinct global relevance, providing an honest account on different t作者: HOWL 時(shí)間: 2025-3-23 01:32 作者: 飾帶 時(shí)間: 2025-3-23 06:06
Antonio Alguacil,Wagner Gon?alves Pinto,Michael Bauerheim,Marc C. Jacob,Stéphane Moreau the reasons for this need for refinement, it gave the impression that scientists were merely running about in confusion. (3) A vicious cycle resulted, wherein the more scientists endeavored to conduct a thorough scientific inquiry into the causes of Minamata disease, the less action the Japanese go作者: stressors 時(shí)間: 2025-3-23 09:46 作者: Decrepit 時(shí)間: 2025-3-23 17:03
Joao A. Candido Ramos,Lionel Blondé,Stéphane Armand,Alexandros Kalousisith heightened awareness of the sources and processes of the law as it can affect their practice; (2) to offer them strategies for minimizing the potential for their being named in a lawsuit; and (3) to provide guidance for the management of current and emerging situations. The book discusses the da作者: 不能根除 時(shí)間: 2025-3-23 22:05
ith heightened awareness of the sources and processes of the law as it can affect their practice; (2) to offer them strategies for minimizing the potential for their being named in a lawsuit; and (3) to provide guidance for the management of current and emerging situations. The book discusses the da作者: 過(guò)剩 時(shí)間: 2025-3-24 01:48
Manchit Madan,Ankur Chouragade,Sreekanth Vempatiith heightened awareness of the sources and processes of the law as it can affect their practice; (2) to offer them strategies for minimizing the potential for their being named in a lawsuit; and (3) to provide guidance for the management of current and emerging situations. The book discusses the da作者: chastise 時(shí)間: 2025-3-24 03:55 作者: Instantaneous 時(shí)間: 2025-3-24 09:17 作者: 尖酸一點(diǎn) 時(shí)間: 2025-3-24 11:55
Yexiang Xue,Md Nasim,Maosen Zhang,Cuncai Fan,Xinghang Zhang,Anter El-Azabactice; (2) to offer them strategies for minimizing the potential for their being named in a lawsuit; and (3) to provide guidance for the management of current and emerging situations. The book discusses the da978-1-4419-2468-1978-0-387-72175-0作者: Banister 時(shí)間: 2025-3-24 15:36 作者: nautical 時(shí)間: 2025-3-24 21:58 作者: 聯(lián)想 時(shí)間: 2025-3-25 01:51
Haomin Yu,Mingfei Liang,Ruobing Xie,Zhenlong Sun,Bo Zhang,Leyu Linactice; (2) to offer them strategies for minimizing the potential for their being named in a lawsuit; and (3) to provide guidance for the management of current and emerging situations. The book discusses the da978-1-4419-2468-1978-0-387-72175-0作者: 賞心悅目 時(shí)間: 2025-3-25 06:33
Sophie van den Berg,Marwan Hassaniactice; (2) to offer them strategies for minimizing the potential for their being named in a lawsuit; and (3) to provide guidance for the management of current and emerging situations. The book discusses the da978-1-4419-2468-1978-0-387-72175-0作者: G-spot 時(shí)間: 2025-3-25 08:02
Anna Nguyen,Franz Krause,Daniel Hagenmayer,Michael F?rberactice; (2) to offer them strategies for minimizing the potential for their being named in a lawsuit; and (3) to provide guidance for the management of current and emerging situations. The book discusses the da978-1-4419-2468-1978-0-387-72175-0作者: 傷心 時(shí)間: 2025-3-25 11:53 作者: 使成波狀 時(shí)間: 2025-3-25 16:05 作者: Libido 時(shí)間: 2025-3-25 20:09 作者: BRUNT 時(shí)間: 2025-3-26 01:34
Methods for Automatic Machine-Learning Workflow Analysismance prediction. Another interesting application is the suggestion of component types, for which a classification baseline is presented. A slightly adapted GCN using both graph- and node-level information further improves upon this baseline. The used codebase as well as all experimental setups with作者: Crepitus 時(shí)間: 2025-3-26 06:33 作者: 糾纏 時(shí)間: 2025-3-26 10:11
DeepPE: Emulating Parameterization in Numerical Weather Forecast Model Through Bidirectional Networking. We provide a comparison with three data-driven approaches as well as multi-task fine-tuning in predicting the PBL vertical profiles outputted by the Yonsei University (YSU) parameterization in the Weather Research Forecast (WRF) climate model over 16 locations. The experiment results show that 作者: 種類 時(shí)間: 2025-3-26 15:20
Effects of Boundary Conditions in Fully Convolutional Networks for Learning Spatio-Temporal Dynamicsimal padding strategy is directly linked to the data semantics. Furthermore, the inclusion of additional input spatial context or explicit physics-based rules allows a better handling of boundaries in particular for large number of recurrences, resulting in more robust and stable neural networks, wh作者: Isolate 時(shí)間: 2025-3-26 18:12
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression uncertainties. We show that while a convolutional network can be trained to correctly estimate well calibrated aleatoric uncertainty, -the uncertainty due to the presence of noise in the images- it is unable to generate a trustworthy ellipticity distribution when exposed to previously unseen data (作者: 谷物 時(shí)間: 2025-3-26 21:11
Precise Weather Parameter Predictions for Target Regions via Neural Networksng at a final dense vector that can capture the sequential temporal patterns; 2) a Periodical Mapper which is designed to extract the periodical patterns from past measurements; and 3) a Decoder which employs multiple LSTM units sequentially to forecast a set of weather parameters in the next few sh作者: Merited 時(shí)間: 2025-3-27 04:04 作者: thrombus 時(shí)間: 2025-3-27 06:30 作者: 山崩 時(shí)間: 2025-3-27 11:44
The Joy of Dressing Is an Art: Outfit Generation Using Self-attention Bi-LSTMspective embedding vector obtained from the Bayesian Personalised Ranking- Matrix Factorisation (BPR-MF) algorithm which takes user clickstream activity as an input. An outfit is classified as positive or negative depending on its Goodness Score predicted by a Bi-LSTM model. Further, we show that ap作者: Conflagration 時(shí)間: 2025-3-27 17:02
On Inferring a Meaningful Similarity Metric for Customer Behaviourvaluation on real life use cases of a large telecom company and a benchmark dataset show that, compared to a generic metric, respectively a 46% and 39% improvement can be obtained in terms of the internal clustering quality while keeping the external clustering quality equal. We also show that the i作者: 悅耳 時(shí)間: 2025-3-27 17:59
Conference proceedings 2021Part III: .Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics...Applied Data Science Track:..Part IV:. Anomaly detection and malware; spatio-temporal data; e-commerce and finance; health作者: 不愛(ài)防注射 時(shí)間: 2025-3-27 22:20 作者: 加劇 時(shí)間: 2025-3-28 02:16 作者: 大笑 時(shí)間: 2025-3-28 09:40 作者: 武器 時(shí)間: 2025-3-28 10:39
0302-9743 ge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic.?.The 210 full papers presented in these proceedings were carefully reviewed and s作者: larder 時(shí)間: 2025-3-28 15:03 作者: 神秘 時(shí)間: 2025-3-28 20:42
PuzzleShuffle: Undesirable Feature Learning for Semantic Shift Detectionon operations. Deep neural networks have attained remarkable performance in various tasks when the data distribution is consistent between training and operation phases, but performance significantly drops when they are not. The challenge of detecting Out-of-Distribution (OoD) data from a model that作者: 袋鼠 時(shí)間: 2025-3-29 01:35 作者: Chromatic 時(shí)間: 2025-3-29 04:56
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challengeutomated Time Series Regression challenge (AutoSeries) for the WSDM Cup 2020. We present its design, analysis, and post-hoc experiments. The code submission requirement precluded participants from any manual intervention, testing automated machine learning capabilities of solutions, across many data作者: aviator 時(shí)間: 2025-3-29 10:09
Methods for Automatic Machine-Learning Workflow Analysisteps and consider different stages like development, testing or deployment. Managing workflows poses several challenges, such as workflow versioning, sharing pipeline elements or optimizing individual workflow elements - tasks which are usually conducted manually by data scientists. A dataset contai作者: 推崇 時(shí)間: 2025-3-29 15:02
ConCAD: Contrastive Learning-Based Cross Attention for Sleep Apnea Detection approach. However, the hand-crafted expert knowledge-based features are still insightful. These expert-curated features can increase the model’s generalization and remind the model of some data characteristics, such as the time interval between two patterns. It is particularly advantageous in tasks作者: lymphoma 時(shí)間: 2025-3-29 19:28
DeepPE: Emulating Parameterization in Numerical Weather Forecast Model Through Bidirectional Networkempirical parameterization schemes. For example, planetary boundary layer (PBL) parameterizations are used in atmospheric models to represent the diurnal variation in the formation and collapse of the atmospheric boundary layer—the lowest part of the atmosphere. We consider the problem of developing作者: MOT 時(shí)間: 2025-3-29 20:35
Effects of Boundary Conditions in Fully Convolutional Networks for Learning Spatio-Temporal Dynamicsated problems calls for an improved understanding of boundary condition treatment, and its influence on the network accuracy. In this paper, several strategies to impose boundary conditions (namely padding, improved spatial context, and explicit encoding of physical boundaries) are investigated in t作者: 消散 時(shí)間: 2025-3-29 23:54 作者: SOBER 時(shí)間: 2025-3-30 07:48
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression weak gravitational lensing along the line of sight. It can be used as a tracer of the matter distribution in the Universe. The unbiased estimation of the local value of the cosmic shear can be obtained via Bayesian analysis which relies on robust estimation of the galaxies ellipticity (shape) poste作者: Plaque 時(shí)間: 2025-3-30 08:46
Precise Weather Parameter Predictions for Target Regions via Neural NetworksIt remains challenging for such forecasting, given the limitation of currently employed statistical models, that usually involve the complex simulation governed by atmosphere physical equations. To address such a challenge, we develop a deep learning-based prediction model, called Micro-Macro, aimin作者: Nostalgia 時(shí)間: 2025-3-30 14:08
Action Set Based Policy Optimization for Safe Power Grid Managementng from renewable energies, and unpredictable accidents such as man-made and natural disasters. As the operation on the power grid must consider its impact on future stability, reinforcement learning (RL) has been employed to provide sequential decision-making in power grid management. However, exis作者: 召集 時(shí)間: 2025-3-30 18:36 作者: 鑒賞家 時(shí)間: 2025-3-30 22:26 作者: 里程碑 時(shí)間: 2025-3-31 02:40
