標(biāo)題: Titlebook: Machine Learning and Knowledge Discovery in Databases. Research Track; European Conference, Albert Bifet,Jesse Davis,Indr? ?liobait? Confer [打印本頁(yè)] 作者: duodenum 時(shí)間: 2025-3-21 16:07
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Research Track影響因子(影響力)
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Research 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. Research Track網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Research 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. Research Track被引頻次
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Research Track被引頻次學(xué)科排名
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Research Track年度引用
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Research Track年度引用學(xué)科排名
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Research Track讀者反饋
書(shū)目名稱Machine Learning and Knowledge Discovery in Databases. Research Track讀者反饋學(xué)科排名
作者: 大吃大喝 時(shí)間: 2025-3-21 23:01
hy available today. Each chapter focuses on a particular technique, but the book as a whole covers all types of astronomical image processing, including processing of events such as eclipses, using DSLRs, and deep-sky, planetary, widefield, and high resolution astronomical image processing. Recogniz作者: 離開(kāi)就切除 時(shí)間: 2025-3-22 01:40
Wiem Ben Rim,Ammar Shaker,Zhao Xu,Kiril Gashteovski,Bhushan Kotnis,Carolin Lawrence,Jürgen Quittek,Shy available today. Each chapter focuses on a particular technique, but the book as a whole covers all types of astronomical image processing, including processing of events such as eclipses, using DSLRs, and deep-sky, planetary, widefield, and high resolution astronomical image processing. Recogniz作者: cyanosis 時(shí)間: 2025-3-22 07:55 作者: MILL 時(shí)間: 2025-3-22 12:10 作者: 厚顏 時(shí)間: 2025-3-22 13:22 作者: Retrieval 時(shí)間: 2025-3-22 17:22
Haizhou Du,Zhiyuan Yanghy available today. Each chapter focuses on a particular technique, but the book as a whole covers all types of astronomical image processing, including processing of events such as eclipses, using DSLRs, and deep-sky, planetary, widefield, and high resolution astronomical image processing. Recogniz作者: crucial 時(shí)間: 2025-3-22 22:09 作者: PURG 時(shí)間: 2025-3-23 05:07 作者: Confess 時(shí)間: 2025-3-23 08:05 作者: 我不重要 時(shí)間: 2025-3-23 13:36 作者: MORT 時(shí)間: 2025-3-23 16:29 作者: Graduated 時(shí)間: 2025-3-23 20:04 作者: 催眠藥 時(shí)間: 2025-3-24 00:35 作者: BRIEF 時(shí)間: 2025-3-24 05:40 作者: exostosis 時(shí)間: 2025-3-24 10:19
Shun Zhang,Chaoran Yan,Jian Yang,Wei Zhang,Changyu Ren,Tongliang Li,Jiaqi Bai,Zhoujun Lie covers all types of astronomical image processing, including processing of events such as eclipses, using DSLRs, and deep-sky, planetary, widefield, and high resolution astronomical image processing. Recogniz978-1-4614-7833-1978-1-4614-7834-8Series ISSN 1431-9756 Series E-ISSN 2197-6562 作者: 疲憊的老馬 時(shí)間: 2025-3-24 14:25 作者: commonsense 時(shí)間: 2025-3-24 17:08 作者: Bronchial-Tubes 時(shí)間: 2025-3-24 20:00 作者: Aspirin 時(shí)間: 2025-3-25 03:09
0302-9743 k:?.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..978-3-031-70361-4978-3-031-70362-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 遍及 時(shí)間: 2025-3-25 05:34
Fair Densest Subgraph Across Multiple Graphs while inducing a total density of at least . across the graph snapshots. We prove the .-hardness of the problem and propose two algorithms: an exponential time algorithm based on integer programming and a greedy algorithm. We present an extensive experimental study that shows that our algorithms ca作者: 摻假 時(shí)間: 2025-3-25 09:56
A Human-Centric Assessment of?the?Usefulness of?Attribution Methods in?Computer Visioneturns a usefulness ranking of the XAI models and also compares them with a human baseline. In a large-scale subject study, our results show that the acceptance rate increases from 64.2% without explanations to 86% with XAI methods and 92.7% when given human explanations. One particular model obtain作者: 熔巖 時(shí)間: 2025-3-25 15:07
Fast-FedUL: A Training-Free Federated Unlearning with?Provable Skew Resiliencentroduce Fast-FedUL, a tailored unlearning method for FL, which eliminates the need for retraining entirely. Through meticulous analysis of the target client’s influence on the global model in each round, we develop an algorithm to systematically remove the impact of the target client from the train作者: Notify 時(shí)間: 2025-3-25 17:36
Input Compression with?Positional Consistency for?Efficient Training and?Inference of?Transformer Neng of compressed inputs without any changes to the underlying Transformer architecture. We detail compression-based augmentation methods for four different modalities – insignificant word pruning for text, resolution modulation for images, spatio-temporal resolution modulation for videos, and spectr作者: FISC 時(shí)間: 2025-3-25 20:39 作者: 并排上下 時(shí)間: 2025-3-26 01:44 作者: 消滅 時(shí)間: 2025-3-26 04:23 作者: 有節(jié)制 時(shí)間: 2025-3-26 10:29 作者: Forehead-Lift 時(shí)間: 2025-3-26 16:33 作者: labyrinth 時(shí)間: 2025-3-26 17:46
: A Transfer and?Interpretable LLM-Enhanced Framework for?New Intent Discoveryon knowledge from known to novel intents, facilitating the transfer of clear-cut knowledge about predictive distributions. The reliable knowledge interpretation module focuses on selecting characteristic samples from clusters related to new categories. It then employs the in-context learning capabil作者: Highbrow 時(shí)間: 2025-3-26 21:06
Memory-Enhanced Emotional Support Conversations with?Motivation-Driven Strategy Inferencen-of-thought to steer models in understanding the underlying reasons of strategy inference. Moreover, to capture the intricate human language patterns and knowledge embedded in support strategies, we introduce a strategy memory store to enhance strategy modeling, by disentangling the representations作者: clarify 時(shí)間: 2025-3-27 05:11 作者: BLUSH 時(shí)間: 2025-3-27 05:23
Graphical Model-Based Lasso for?Weakly Dependent Time Series of?Tensorsrisk analytics. To address this fundamental restriction, we propose a novel framework, named the WeDTLasso, for estimating the concentration matrix of a sequence of tensor-valued data, which allows us to explicitly and systematically account for the dependency between multiple information sources ov作者: 未開(kāi)化 時(shí)間: 2025-3-27 09:56 作者: enormous 時(shí)間: 2025-3-27 16:07
Quantification Over Timep improve the performance of standalone quantifications and a general framework that includes both ours and SOTA methods. In an experimental comparison with several textual datasets and numeral datasets, we show that our method outperforms existing methods for QoT in the literature, such as a simple作者: CURB 時(shí)間: 2025-3-27 19:57
Approximating the?Graph Edit Distance with?Compact Neighborhood Representationsentify redundancies, and caching. Experimental results demonstrate significant improvements in the trade-off between running time and approximation quality compared to existing state-of-the-art approaches.作者: Override 時(shí)間: 2025-3-28 01:08
Leveraging Plasticity in?Incremental Decision Trees on synthetic and real-world data streams. Our results show that PLASTIC improves EFDT’s worst-case accuracy by up to 50% and outperforms the current state of the art on real-world data. We provide an open-source implementation of PLASTIC within the MOA framework for mining high-speed data streams.作者: 排斥 時(shí)間: 2025-3-28 04:10
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: 啞巴 時(shí)間: 2025-3-28 09:32
Individual Fairness with?Group Awareness Under Uncertaintys that aligns with real-world scenarios. Through experiments conducted on four real-world datasets with socially sensitive concerns and censorship, we demonstrate that our proposed approach not only outperforms state-of-the-art methods in terms of fairness but also maintains a competitive level of predictive performance.作者: GULF 時(shí)間: 2025-3-28 12:05 作者: 閹割 時(shí)間: 2025-3-28 15:52 作者: 騷擾 時(shí)間: 2025-3-28 21:00 作者: Gratulate 時(shí)間: 2025-3-29 00:40
professional astronomers doing the same and their contributions both technically and artistically are the dominant drivers of progress in the field today. This book is a unique collaboration of individuals world-renowned in their particular area and covers in detail each of the major sub-disciplines作者: Engaged 時(shí)間: 2025-3-29 04:40
Chamalee Wickrama Arachchi,Nikolaj Tatti all types of astronomical image processing, including proceThere are currently thousands of amateur astronomers around the world engaged in astrophotography at a sophisticated level. Their ranks far outnumber professional astronomers doing the same and their contributions both technically and artis作者: 宿醉 時(shí)間: 2025-3-29 10:23
Wiem Ben Rim,Ammar Shaker,Zhao Xu,Kiril Gashteovski,Bhushan Kotnis,Carolin Lawrence,Jürgen Quittek,Sprofessional astronomers doing the same and their contributions both technically and artistically are the dominant drivers of progress in the field today. This book is a unique collaboration of individuals world-renowned in their particular area and covers in detail each of the major sub-disciplines作者: Minikin 時(shí)間: 2025-3-29 15:26
Marco Heyden,Heitor Murilo Gomes,Edouard Fouché,Bernhard Pfahringer,Klemens B?hmprofessional astronomers doing the same and their contributions both technically and artistically are the dominant drivers of progress in the field today. This book is a unique collaboration of individuals world-renowned in their particular area and covers in detail each of the major sub-disciplines作者: 無(wú)孔 時(shí)間: 2025-3-29 18:25
Thanh Trung Huynh,Trong Bang Nguyen,Phi Le Nguyen,Thanh Tam Nguyen,Matthias Weidlich,Quoc Viet Hung all types of astronomical image processing, including proceThere are currently thousands of amateur astronomers around the world engaged in astrophotography at a sophisticated level. Their ranks far outnumber professional astronomers doing the same and their contributions both technically and artis作者: 哎呦 時(shí)間: 2025-3-29 23:44 作者: 聽(tīng)覺(jué) 時(shí)間: 2025-3-30 00:41 作者: 障礙物 時(shí)間: 2025-3-30 05:01 作者: 惡名聲 時(shí)間: 2025-3-30 08:23 作者: A精確的 時(shí)間: 2025-3-30 12:52
Pio Calderon,Marian-Andrei Rizoiu all types of astronomical image processing, including proceThere are currently thousands of amateur astronomers around the world engaged in astrophotography at a sophisticated level. Their ranks far outnumber professional astronomers doing the same and their contributions both technically and artis作者: 序曲 時(shí)間: 2025-3-30 19:38 作者: arboretum 時(shí)間: 2025-3-30 22:47
Ning Zheng,Zhilong Shan all types of astronomical image processing, including proceThere are currently thousands of amateur astronomers around the world engaged in astrophotography at a sophisticated level. Their ranks far outnumber professional astronomers doing the same and their contributions both technically and artis作者: 致命 時(shí)間: 2025-3-31 03:55 作者: geometrician 時(shí)間: 2025-3-31 05:47 作者: 膽小懦夫 時(shí)間: 2025-3-31 09:33 作者: 有惡臭 時(shí)間: 2025-3-31 17:23
Fair Densest Subgraph Across Multiple Graphshis paper, we consider two variants of the densest subgraph problem where multiple graph snapshots are given and the goal is to find a fair densest subgraph without over-representing the density among the graph snapshots. More formally, given a set of graphs and input parameter ., we find a dense su作者: 檔案 時(shí)間: 2025-3-31 19:00 作者: Needlework 時(shí)間: 2025-3-31 22:23
Leveraging Plasticity in?Incremental Decision Treesfaster learning than HT. However, due to its split revision procedure, EFDT suffers from sudden and unpredictable accuracy decreases caused by subtree pruning. To overcome this, we propose PLASTIC, an incremental decision tree that restructures the otherwise pruned subtree. This is possible due to .作者: NAG 時(shí)間: 2025-4-1 03:45
Fast-FedUL: A Training-Free Federated Unlearning with?Provable Skew Resilienceincreasing demand to address issues such as “the right to be forgotten” and combat data poisoning attacks highlights the importance of techniques, known as ., which facilitate the removal of specific training data from trained FL models. Despite numerous unlearning methods proposed for centralized l作者: 聯(lián)邦 時(shí)間: 2025-4-1 06:43
Input Compression with?Positional Consistency for?Efficient Training and?Inference of?Transformer Nements for both training and inference, and are prone to overfitting on small data sets. To address these challenges, we present Input Compression with Positional Consistency (.), a new data augmentation method that simultaneously improves both generalization and training efficiency. The key insight
