標(biāo)題: Titlebook: Machine Learning and Knowledge Discovery in Databases: Research Track; European Conference, Danai Koutra,Claudia Plant,Francesco Bonchi Con [打印本頁(yè)] 作者: 方面 時(shí)間: 2025-3-21 20:04
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
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書(shū)目名稱Machine Learning and Knowledge Discovery in Databases: Research Track被引頻次
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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: Aesthete 時(shí)間: 2025-3-21 20:34 作者: AWE 時(shí)間: 2025-3-22 02:29
Mehdi Seyfi,Amin Banitalebi-Dehkordi,Zirui Zhou,Yong Zhangvel crossing method: SPLC or simply LC.) I rewrote the entire PhD thesis from November 1974 to March 1975, using LC to reach solutions. The new thesis was called System Point Theory in Exponential Queues. On Ju978-0-387-09421-2Series ISSN 0884-8289 Series E-ISSN 2214-7934 作者: GRAZE 時(shí)間: 2025-3-22 05:18 作者: FECK 時(shí)間: 2025-3-22 09:10
Chuanyu Jiang,Yiming Qian,Lijun Chen,Yang Gu,Xia Xie the cell-mediated cytotoxicity, particularly that mediated by immune effector cells, has resulted in the identification of numerous mediators produced and secreted by these cells. Cytolytic proteins that exert lethal action on targets are presumed to be released into the extracellular space during 作者: 吊胃口 時(shí)間: 2025-3-22 15:41
Sizhe Zhou,Suyu Ge,Jiaming Shen,Jiawei Hane type of tumor cell by the soluble product of an activated leukocyte. The “activity” is biochemically characterized and purified. Because these molecules are difficult to isolate in large quantities, only limited clinical trials have been performed with native materials. Hence, genetically engineer作者: Minutes 時(shí)間: 2025-3-22 17:29
Weichen Li,Rati Devidze,Sophie Fellenzy and to compare and contrast their biological activities in an attempt to clarify the nature of these diverse biological species. This book is intended for both immunologists conducting basic research and clinical oncologists, since it reviews not only the clinical applications of the leukolysins, but presen978-1-4612-8938-8978-1-4612-4586-5作者: ANNUL 時(shí)間: 2025-3-23 00:44
Tianyun Liu,Xinghua Zhang,Zhenyu Zhang,Yubin Wang,Quangang Li,Shuai Zhang,Tingwen Liueters, arguing against a role for either . receptor activation or neutrophil accumulation in this disease.. With regard to other inflammatory diseases, in psoriasis there is no evidence in clinical trials that LT biosynthesis inhibitors have any clinical efficacy and this has been used to argue that作者: 暗語(yǔ) 時(shí)間: 2025-3-23 05:26 作者: 花束 時(shí)間: 2025-3-23 08:10 作者: ATOPY 時(shí)間: 2025-3-23 13:05 作者: escalate 時(shí)間: 2025-3-23 15:25 作者: ICLE 時(shí)間: 2025-3-23 19:10 作者: SOW 時(shí)間: 2025-3-24 01:04
N’Dah Jean Kouagou,Stefan Heindorf,Caglar Demir,Axel-Cyrille Ngonga Ngomovor allem für die pathologisch-anatomische Klassifizierung der verschiedenen Leukoseformen wegleitend wurde (. et al., 1964; ., 1967, 1970; .). In zunehmendem Ma?e wurde darüber hinaus die Bedeutung einer Schnittdiagnostik h?matologischer Erkrankungen durch die Ergebnisse der Knochenmarkbiopsie erka作者: Immunoglobulin 時(shí)間: 2025-3-24 03:24 作者: GORGE 時(shí)間: 2025-3-24 08:55
it system point theory. (Subsequently it was called system point method,or system point level crossing method: SPLC or simply LC.) I rewrote the entire PhD thesis from November 1974 to March 1975, using LC to reach solutions. The new thesis was called System Point Theory in Exponential Queues. On Ju作者: 試驗(yàn) 時(shí)間: 2025-3-24 12:44
Unsupervised Deep Cross-Language Entity Alignmentf optimization (minimal and maximal) in the bipartite matching process, which provides more flexibility. Our evaluation shows, we each scored 0.966, 0.990, and 0.996 .@1 rates on the . dataset in Chinese, Japanese, and French to English alignment tasks. We outperformed the state-of-the-art method in作者: upstart 時(shí)間: 2025-3-24 15:10
Corpus-Based Relation Extraction by?Identifying and?Refining Relation Patternsbetween the entity mentions. . first applies high-recall patterns to narrow down each relation type’s candidate space. Then, it embeds candidate relation triples in a latent space and conducts spherical clustering to further filter out noisy candidates and identify high-quality weakly-labeled triple作者: 植物群 時(shí)間: 2025-3-24 21:10 作者: STING 時(shí)間: 2025-3-25 01:16
KL Regularized Normalization Framework for?Low Resource Taskspture expressiveness by re-scaling parameters of normalization. We propose Kullback-Leibler(KL) Regularized normalization (KL-Norm) which make the normalized data well behaved and helps in better generalization as it reduces over-fitting, generalises well on out of domain distributions and removes i作者: Arthropathy 時(shí)間: 2025-3-25 04:13
Enhancing Table Retrieval with?Dual Graph Representationse fusion strategy is eventually tailor-made for sophisticated table representations. In this way, the table structure and semantic information are well considered with dual-graph modeling. Consequently, the input query can match the target tables based on their full-fledged table representations and作者: deceive 時(shí)間: 2025-3-25 09:37
A Few Good Sentences: Content Selection for?Abstractive Text Summarizationt summarization. We observe that self-training and cross-training a pre-trained model with . selected data shows competitive performance to the pre-trained model. Furthermore, a small amount of . selected data is sufficient for domain adaptation against fine-tuning on the entire training dataset wit作者: 外貌 時(shí)間: 2025-3-25 14:29 作者: 狂怒 時(shí)間: 2025-3-25 17:27 作者: 鄙視 時(shí)間: 2025-3-25 22:46
Neural Class Expression Synthesis in?, they are not applicable to ontologies in more expressive description logics. In this paper, we propose a novel NCES approach which extends the state of the art to the description logic .. Our extension, dubbed NCES2, comes with an improved training data generator and does not require pretrained em作者: 萬(wàn)靈丹 時(shí)間: 2025-3-26 03:24
Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approachn (or action) is arrived at. Through several experiments, in setups like the Countdown Game, Blocks World, Gridworld, Traffic, and Mingrid, we show that the policies learned by DERRL are adaptable to varying configurations and environmental changes.作者: 孤獨(dú)無(wú)助 時(shí)間: 2025-3-26 07:42 作者: 不如屎殼郎 時(shí)間: 2025-3-26 11:35
NKFAC: A Fast and?Stable KFAC Optimizer for?Deep Neural Networksbtained from the previous step, producing accurate results within a few iterations thanks to its fast local convergence. This approach reduces computation time and inherits the property of second-order optimizers, enabling practical applications. The proposed algorithm is further enhanced with sever作者: 壓迫 時(shí)間: 2025-3-26 12:51 作者: elastic 時(shí)間: 2025-3-26 17:06 作者: 純樸 時(shí)間: 2025-3-26 22:55 作者: 裂口 時(shí)間: 2025-3-27 03:01
Improving Autoregressive NLP Tasks via?Modular Linearized AttentionLP tasks, including speech-to-text neural machine translation (S2T NMT), speech-to-text simultaneous translation (SimulST), and autoregressive text-to-spectrogram, noting efficiency gains on TTS and competitive performance for NMT and SimulST during training and inference.作者: 我不死扛 時(shí)間: 2025-3-27 09:13
The Metric is the?Message: Benchmarking Challenges for?Neural Symbolic Regressiontructure of equations generated after training can help reveal these shortcomings, and suggest ways to correct for them. Given our results, we suggest best practices on what metrics to use to best advance this new field.作者: Occlusion 時(shí)間: 2025-3-27 13:13
Exact Combinatorial Optimization with?Temporo-Attentional Graph Neural Networks of variable selection in the branch-and-bound (B&B) algorithm, incorporating the temporal information as well as the bipartite graph attention improves the solver’s performance. We support our claims with intuitions and numerical results over several standard datasets used in the literature and competitions. (Code is available at: ..)作者: Demonstrate 時(shí)間: 2025-3-27 15:10 作者: impale 時(shí)間: 2025-3-27 19:55
0302-9743 ge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023..The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track.?.The volumes are organized in topical作者: 羊欄 時(shí)間: 2025-3-28 00:41
Unsupervised Deep Cross-Language Entity Alignment simple and novel unsupervised method for cross-language entity alignment. We utilize the deep learning multi-language encoder combined with a machine translator to encode knowledge graph text, which reduces the reliance on label data. Unlike traditional methods that only emphasize global or local a作者: 大門(mén)在匯總 時(shí)間: 2025-3-28 04:53
Corpus-Based Relation Extraction by?Identifying and?Refining Relation Patternslexical patterns to label a small set of high-precision relation triples and then employ distributional methods to enhance detection recall. This . approach works well for common relation types but struggles with unconventional and infrequent ones. In this work, we propose a . approach that first le作者: 憤慨點(diǎn)吧 時(shí)間: 2025-3-28 08:35 作者: 侵害 時(shí)間: 2025-3-28 13:03
SALAS: Supervised Aspect Learning Improves Abstractive Multi-document Summarization Through Aspect Ih the long-input issue brought by multiple documents, most previous work extracts salient sentence-level information from the input documents and then performs summarizing on the extracted information. However, the aspects of documents are neglected. The limited ability to discover the content on ce作者: sacrum 時(shí)間: 2025-3-28 18:11 作者: COLON 時(shí)間: 2025-3-28 21:45
Improving Autoregressive NLP Tasks via?Modular Linearized Attentioner resource-constrained environment. While prior research has reduced the size of these models, increasing computational efficiency without considerable performance impacts remains difficult, especially for autoregressive tasks. This paper proposes ., which combines multiple efficient attention mech作者: Flounder 時(shí)間: 2025-3-28 22:54 作者: Legion 時(shí)間: 2025-3-29 04:17 作者: flutter 時(shí)間: 2025-3-29 07:19
Encouraging Sparsity in?Neural Topic Modeling with?Non-Mean-Field Inferenceve model. Recently, researchers have explored the use of variational autoencoders (VAE) to improve the performance of LDA. However, there remain two major limitations: (1) the Dirichlet prior is inadequate to extract precise semantic information in VAE-LDA models, as it introduces a trade-off betwee作者: Endoscope 時(shí)間: 2025-3-29 12:10
The Metric is the?Message: Benchmarking Challenges for?Neural Symbolic Regressiony favorable performance for the method using it but making comparison between methods difficult. Here we compare the performance of several NSR methods using diverse metrics reported in the literature, and some of our own devising. We show that reliance on a single metric can hide an NSR method’s sh作者: MIRE 時(shí)間: 2025-3-29 16:44 作者: Credence 時(shí)間: 2025-3-29 20:14
Neural Class Expression Synthesis in?of the search process invokes a reasoner and a heuristic function. The reasoner finds the instances of the current expression, and the heuristic function computes the information gain and decides on the next step to be taken. As the size of the background knowledge base grows, search-based approache作者: Dissonance 時(shí)間: 2025-3-30 00:53
Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approachepresentations, it has difficulties in coping with structural changes in its environment (such as increasing the number of objects). Meanwhile, Relational Reinforcement Learning inherits the relational representations from symbolic planning to learn reusable policies. However, it has so far been una作者: Ondines-curse 時(shí)間: 2025-3-30 04:07
ReOnto: A Neuro-Symbolic Approach for?Biomedical Relation Extractionocabulary, which is generally in the form of a Knowledge Graph (KG) or an ontology. Various approaches have been proposed so far to address this task. However, applying these techniques to biomedical text often yields unsatisfactory results because it is hard to infer relations directly from sentenc作者: 使顯得不重要 時(shí)間: 2025-3-30 08:17
NKFAC: A Fast and?Stable KFAC Optimizer for?Deep Neural NetworksKronecker-factorized approximate curvature (KFAC) algorithm, where the inverse computation of the two second-order statistics to approximate the Fisher information matrix (FIM) is essential. However, the time-consuming nature of this inversion process often limits the extensive application of KFAC. 作者: cancellous-bone 時(shí)間: 2025-3-30 14:35 作者: 取消 時(shí)間: 2025-3-30 19:13 作者: single 時(shí)間: 2025-3-30 22:23 作者: 不能仁慈 時(shí)間: 2025-3-31 03:15 作者: Nutrient 時(shí)間: 2025-3-31 08:25
Tianyun Liu,Xinghua Zhang,Zhenyu Zhang,Yubin Wang,Quangang Li,Shuai Zhang,Tingwen Liusponses.. In particular, LTs have been implicated in the pathology of human bronchial asthma., and two .. receptor antagonists (montelukast and zafirlukast) and one 5-lipoxygenase (5-LO) inhibitor (zileuton) have been approved for the treatment of human bronchial asthma in several countries outside 作者: Counteract 時(shí)間: 2025-3-31 11:34
Vivek Srivastava,Savita Bhat,Niranjan Pedanekarsponses.. In particular, LTs have been implicated in the pathology of human bronchial asthma., and two .. receptor antagonists (montelukast and zafirlukast) and one 5-lipoxygenase (5-LO) inhibitor (zileuton) have been approved for the treatment of human bronchial asthma in several countries outside 作者: PANEL 時(shí)間: 2025-3-31 15:56 作者: flutter 時(shí)間: 2025-3-31 17:35
terschiedlich ausgepr?gten Organ befall, durch das mikroskopische Verteilungsmuster und die cytologischen Merkmale der leukotischen Infiltrationen sowie die im Einzelfall variablen Komplikationen der Grundkrankheit gepragt (übersichten: . u. .; .; .; .). Versuche, die Aussagef?higkeit h?matopatholo作者: dyspareunia 時(shí)間: 2025-4-1 01:28
Amanda Bertschinger,Q. Tyrell Davis,James Bagrow,Joshua Bongardproliferationsf?higer Zellen eingreifen und hierdurch den Krankheitsverlauf — wenn auch meist nur vorübergehend — günstig beeinflussen k?nnen. Leider werden durch diese Substanzen nicht nur die malignen, sondern auch normale Zellen empfindlich gesch?digt, was auf das Fehlen qualitativer biochemische作者: antiandrogen 時(shí)間: 2025-4-1 03:28 作者: effrontery 時(shí)間: 2025-4-1 06:14
