標(biāo)題: Titlebook: Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track; European Conference, Albert Bifet,Povilas Daniu?is,In [打印本頁] 作者: 磨損 時間: 2025-3-21 16:21
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track影響因子(影響力)
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track影響因子(影響力)學(xué)科排名
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書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track被引頻次
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track被引頻次學(xué)科排名
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書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track年度引用學(xué)科排名
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track讀者反饋
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track讀者反饋學(xué)科排名
作者: 白楊 時間: 2025-3-21 23:11 作者: Epidural-Space 時間: 2025-3-22 00:46 作者: troponins 時間: 2025-3-22 08:08 作者: FIN 時間: 2025-3-22 11:20
Wei Ye,Hao Tian,Shuhao Tang,Xin Sunpplications provided. Specific attention is given to the interrelationship of the collective conscience with democracy. Educating for conscience and the notion of the sacred are also examined. Written from an educator’s perspective, this book offers a framework for moral education to both the secula作者: CHAR 時間: 2025-3-22 14:03 作者: 適宜 時間: 2025-3-22 18:07
Xv Meng,Jun Rao,Shuhan Qi,Lei Wang,Jing Xiao,Xuan Wangpplications provided. Specific attention is given to the interrelationship of the collective conscience with democracy. Educating for conscience and the notion of the sacred are also examined. Written from an educator’s perspective, this book offers a framework for moral education to both the secula作者: notification 時間: 2025-3-23 01:09 作者: Yag-Capsulotomy 時間: 2025-3-23 05:06
Yuxin Guo,Cheng Yang,Chuan Shi,Ke Tu,Zhengwei Wu,Zhiqiang Zhang,Jun Zhoupplications provided. Specific attention is given to the interrelationship of the collective conscience with democracy. Educating for conscience and the notion of the sacred are also examined. Written from an educator’s perspective, this book offers a framework for moral education to both the secula作者: FER 時間: 2025-3-23 05:56
Jiaxing Yan,Yuyin Lu,Hegang Chen,Jianxing Yu,Yanghui Raopplications provided. Specific attention is given to the interrelationship of the collective conscience with democracy. Educating for conscience and the notion of the sacred are also examined. Written from an educator’s perspective, this book offers a framework for moral education to both the secula作者: FLINT 時間: 2025-3-23 12:26
Clemens Damke,Eyke Hüllermeier the years in attempts to capture and maintain the attention of students in my courses. I will also describe how I try to utilize the wealth of expertise in the classroom to enhance the course experience for students and for myself. I teach courses on Consumer Behavior, Digital Marketing, Advertisin作者: constitute 時間: 2025-3-23 16:36
Yuhan Ye,Jingbo Zhou,Shuangli Li,Congxi Xiao,Haochao Ying,Hui Xiong an easily understandable form including their development from ancient history through the life and times of J. S. Bach, making connections between science, philosophy, art, architecture, particle physics, cal978-3-030-63771-2978-3-030-63769-9Series ISSN 2199-0956 Series E-ISSN 2199-0964 作者: 尊敬 時間: 2025-3-23 20:37 作者: 雪崩 時間: 2025-3-24 00:44 作者: 母豬 時間: 2025-3-24 02:57
A Unified Contrastive Loss for?Self-traininglied to popular self-training methods, results in significant performance improvements across three different datasets with a limited number of labeled data. Additionally, we demonstrate further improvements in convergence speed, transfer ability, and hyperparameter stability. The code is available 作者: gout109 時間: 2025-3-24 09:10
Hierarchical Structure-Aware Graph Prompting for?Drug-Drug Interaction Predictionask into a uniform task format. This is achieved through an adaptive dual-level prompting process featuring unique virtual tokens. Aligned with our hierarchical structure-aware pre-training, it effectively activates relevant knowledge for DDI prediction, fostering a more seamless integration between作者: invade 時間: 2025-3-24 14:27
Employing Two-Dimensional Word Embedding for?Difficult Tabular Data Stream Classificationng the . algorithm and then performs a single ResNet-18 training epoch. Experiments conducted on synthetic and real data streams have demonstrated the ability of . to achieve classification quality statistically significantly superior to state-of-the-art algorithms while maintaining comparable proce作者: 雕鏤 時間: 2025-3-24 15:20
Univariate Skeleton Prediction in?Multivariate Systems Using Transformersulti-Set Skeleton Prediction and outputs a univariate symbolic skeleton. Thus, such skeletons represent explanations of the function approximated by the regression NN. Experimental results demonstrate that this method learns skeleton expressions matching the underlying functions and outperforms two 作者: pulmonary-edema 時間: 2025-3-24 22:51 作者: Orthodontics 時間: 2025-3-24 23:27 作者: 黃瓜 時間: 2025-3-25 04:24
Tackling Oversmoothing in?GNN via?Graph SparsificationGNNs and pooling models, such as GIN, SAGPool, GMT, DiffPool, MinCutPool, HGP-SL, DMonPool, and AdamGNN. Extensive experiments on different real-world datasets show that our model significantly improves the performance of the baseline GNN models in the graph classification task.作者: 審問,審訊 時間: 2025-3-25 08:46
Enhancing Shortest-Path Graph Kernels via?Graph Augmentationnted graphs, we employ the Wasserstein distance to track the changes. Our novel graph kernel is called the Augmented SP (ASP). We conduct experiments on various benchmark graph datasets to evaluate ASP’s performance, which outperforms the state-of-the-art graph kernels on most datasets.作者: 繁重 時間: 2025-3-25 12:52
Hyperbolic Contrastive Learning with?Model-Augmentation for?Knowledge-Aware Recommendationugmentation techniques to assist Hyperbolic contrastive learning. Different from the classical structure-level augmentation (e.g., edge dropping), the proposed model-augmentations can avoid preference shifts between the augmented positive pair. Finally, we conduct extensive experiments to demonstrat作者: Cabg318 時間: 2025-3-25 16:15 作者: altruism 時間: 2025-3-25 20:04
Adaptive Knowledge Distillation for?Classification of?Hand Images Using Explainable Vision Transformresults demonstrate that ViT models significantly outperform traditional machine learning methods and the internal states of ViTs are useful for explaining the model outputs in the classification task. By averting catastrophic forgetting, our distillation methods achieve excellent performance on dat作者: HUMP 時間: 2025-3-26 04:08 作者: LINES 時間: 2025-3-26 06:32
Lifelong Hierarchical Topic Modeling via?Nonparametric Word Embedding Clusteringte that our method can generate a rational, flexible, and coherent topic structure. Lifelong learning evaluations also validate that our method is less influenced by catastrophic forgetting than baseline models. Our code is available at ..作者: precede 時間: 2025-3-26 08:45 作者: 氣候 時間: 2025-3-26 16:40 作者: 我不明白 時間: 2025-3-26 17:08 作者: 襲擊 時間: 2025-3-26 22:18 作者: fleeting 時間: 2025-3-27 05:08 作者: 薄荷醇 時間: 2025-3-27 08:44 作者: 歡騰 時間: 2025-3-27 11:56 作者: 值得贊賞 時間: 2025-3-27 14:50
Quoc-Anh Hoang Nguyen,The Hung Tranp of the collective conscience with democracy. Educating for conscience and the notion of the sacred are also examined. Written from an educator’s perspective, this book offers a framework for moral education to both the secula978-94-6209-007-1作者: 不近人情 時間: 2025-3-27 20:12
Machine Learning and Knowledge Discovery in Databases. Research Track and Demo TrackEuropean Conference,作者: 大量 時間: 2025-3-27 22:39
0302-9743 owledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024...?..The papers presented in these proceedings are from the following three conference tracks: -..Research Track:.?The 202 full papers presented here, from this track, were carefully reviewed and selected f作者: Microgram 時間: 2025-3-28 04:19
Conference proceedings 2024om this track, were selected from 30 submissions.?These papers are present in the following volume: Part VIII...?..Applied Data Science Track:?.The 56 full papers presented here, from this track, were carefully reviewed and selected from 224 submissions. These papers are present in the following volumes: Part IX and Part X..作者: 大猩猩 時間: 2025-3-28 08:53 作者: 豪華 時間: 2025-3-28 13:10
Conference proceedings 2024scovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024...?..The papers presented in these proceedings are from the following three conference tracks: -..Research Track:.?The 202 full papers presented here, from this track, were carefully reviewed and selected from 826 su作者: voluble 時間: 2025-3-28 17:32
Achieving Counterfactual Explanation for?Sequence Anomaly Detectionnovel framework, called CFDet, that can explain the detection results of one-class sequence anomaly detection models by highlighting the anomalous entries in the sequences based on the idea of counterfactual explanation. Experimental results on three datasets show that CFDet can provide explanations by correctly detecting anomalous entries.作者: Adjourn 時間: 2025-3-28 18:46 作者: Cumbersome 時間: 2025-3-29 02:30 作者: Curmudgeon 時間: 2025-3-29 04:28 作者: 虛構(gòu)的東西 時間: 2025-3-29 10:42 作者: projectile 時間: 2025-3-29 15:24 作者: Fresco 時間: 2025-3-29 19:06
Frugal Generative Modeling for?Tabular Dataerative model is trained so that sampled regions in the feature space contain the same fraction of true and synthetic samples, allowing true and synthetic data distributions to be aligned using a frugal and sound learning criterion. The merits of . in terms of the usual performance indicators (pairw作者: penance 時間: 2025-3-29 21:58
Employing Two-Dimensional Word Embedding for?Difficult Tabular Data Stream Classificationcapable of exhibiting the phenomenon of concept drift and having a high imbalance ratio. Consequently, developing new approaches to classifying difficult data streams is a rapidly growing research area. At the same time, the proliferation of deep learning and transfer learning, as well as the succes作者: Frequency 時間: 2025-3-30 03:10 作者: Ligament 時間: 2025-3-30 08:03
Univariate Skeleton Prediction in?Multivariate Systems Using Transformerswith multivariate systems, they often fail to identify the functional form that explains the relationship between each variable and the system’s response. To begin to address this, we propose an explainable neural SR method that generates univariate symbolic skeletons that aim to explain how each va作者: 盡忠 時間: 2025-3-30 08:12 作者: Resign 時間: 2025-3-30 13:54
Real-Part Quantum Support Vector Machinesmental discipline. Within quantum computing, quantum machine learning is becoming more and more popular. However, subtle differences between classical and quantum machine learning methods sometimes lead to incompatible formalizations of otherwise well aligned methods. Inspired by this observation, w作者: 確定 時間: 2025-3-30 19:15 作者: gratify 時間: 2025-3-30 22:16
Enhancing Shortest-Path Graph Kernels via?Graph Augmentationt compare graphs with variable scales of the graph structure well and cannot compare attributed graphs whose vertices have continuous attributes. To overcome these two challenges, we propose to enhance SP via graph augmentation: Variable scales of the graph structure around vertices are extracted to作者: 思想上升 時間: 2025-3-31 03:16
Hyperbolic Contrastive Learning with?Model-Augmentation for?Knowledge-Aware Recommendationnowledge-aware recommendation. However, most existing contrastive learning-based methods have difficulties in effectively capturing the underlying hierarchical structure within user-item bipartite graphs and knowledge graphs. Moreover, they commonly generate positive samples for contrastive learning作者: octogenarian 時間: 2025-3-31 08:09 作者: Palate 時間: 2025-3-31 11:14
Adaptive Knowledge Distillation for?Classification of?Hand Images Using Explainable Vision Transformnct characteristics, such as the pattern of veins, fingerprints, and the geometry of the hand itself. This paper investigates the use of vision transformers (ViTs) for classification of hand images. We use explainability tools to explore the internal representations of ViTs and assess their impact o作者: 食物 時間: 2025-3-31 13:34 作者: 全能 時間: 2025-3-31 20:57
Lifelong Hierarchical Topic Modeling via?Nonparametric Word Embedding Clusteringwever, the existing methods often assume a fixed topic hierarchy, leading to poor performance when applied to document streams. Meanwhile, the prior knowledge of topic structure is helpful for hierarchical topic modeling but it is quite costly to obtain such information manually. To address these is作者: Outshine 時間: 2025-4-1 00:59
High-Dimensional Bayesian Optimization via?Random Projection of?Manifold Subspacesay decrease exponentially as the dimensionality increases. A common framework to tackle this problem is to assume that the objective function depends on a limited set of features that lie on a low-dimensional manifold embedded in the high-dimensional ambient space. The latent space can be linear or 作者: ARY 時間: 2025-4-1 05:32 作者: 小卒 時間: 2025-4-1 09:27
e users to create multiplayer games for the browser.Shows yo.Create a fully working multiplayer game from scratch using TypeScript, Socket.IO, and the community edition of Phaser.js. You will achieve amazing feats in the browser without having to install any software. This book teaches you how to us
