標(biāo)題: Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Toon Calders,Floriana Esposito,Rosa Meo Conference proceedings [打印本頁(yè)] 作者: broach 時(shí)間: 2025-3-21 17:53
書目名稱Machine Learning and Knowledge Discovery in Databases影響因子(影響力)
書目名稱Machine Learning and Knowledge Discovery in Databases影響因子(影響力)學(xué)科排名
書目名稱Machine Learning and Knowledge Discovery in Databases網(wǎng)絡(luò)公開度
書目名稱Machine Learning and Knowledge Discovery in Databases網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning and Knowledge Discovery in Databases被引頻次
書目名稱Machine Learning and Knowledge Discovery in Databases被引頻次學(xué)科排名
書目名稱Machine Learning and Knowledge Discovery in Databases年度引用
書目名稱Machine Learning and Knowledge Discovery in Databases年度引用學(xué)科排名
書目名稱Machine Learning and Knowledge Discovery in Databases讀者反饋
書目名稱Machine Learning and Knowledge Discovery in Databases讀者反饋學(xué)科排名
作者: hypertension 時(shí)間: 2025-3-21 21:13 作者: 節(jié)省 時(shí)間: 2025-3-22 03:44 作者: PALMY 時(shí)間: 2025-3-22 04:40 作者: Mammal 時(shí)間: 2025-3-22 09:10 作者: QUAIL 時(shí)間: 2025-3-22 15:23
Kernel Principal Geodesic Analysistations of data via the mapping to kernel feature space. Conventionally, kPCA relies on Euclidean statistics in kernel feature space. However, Euclidean analysis can make kPCA inefficient or incorrect for many popular kernels that map input points to a . in kernel feature space. To address this prob作者: 花爭(zhēng)吵 時(shí)間: 2025-3-22 18:48
Attributed Graph Kernels Using the Jensen-Tsallis ,-Differenceseen probability distributions over the graphs. To this end, we first assign a probability to each vertex of the graph through a continuous-time quantum walk (CTQW). We then adopt the tree-index approach [1] to strengthen the original vertex labels, and we show how the CTQW can induce a probability d作者: Kaleidoscope 時(shí)間: 2025-3-23 01:04
Sub-sampling for Multi-armed Bandits novel algorithm that is based on sub-sampling. Despite its simplicity, we show that the algorithm demonstrates excellent empirical performances against state-of-the-art algorithms, including Thompson sampling and KL-UCB. The algorithm is very flexible, it does need to know a set of reward distribut作者: interrupt 時(shí)間: 2025-3-23 02:21 作者: 易怒 時(shí)間: 2025-3-23 06:32 作者: Glucocorticoids 時(shí)間: 2025-3-23 13:44
Open Question Answering with Weakly Supervised Embedding Modelshieved by methods that learn to map questions to logical forms or database queries. Such approaches can be effective but at the cost of either large amounts of human-labeled data or by defining lexicons and grammars tailored by practitioners. In this paper, we instead take the radical approach of le作者: Rejuvenate 時(shí)間: 2025-3-23 16:25
Towards Automatic Feature Construction for Supervised Classificationified by describing the structure of data by the means of variables, tables and links across tables, and choosing construction rules. The space of variables that can be constructed is virtually infinite, which raises both combinatorial and over-fitting problems. We introduce a prior distribution ove作者: Coordinate 時(shí)間: 2025-3-23 19:35 作者: corn732 時(shí)間: 2025-3-23 22:17 作者: 獨(dú)行者 時(shí)間: 2025-3-24 03:05
Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCAwn from a nominal probability distribution. Our test statistic is the distance of a query point mapped in a feature space to its projection on the eigen-structure of the kernel matrix computed on the sample points. Indeed, the eigenfunction expansion of a Gram matrix is dependent on the input data d作者: 后退 時(shí)間: 2025-3-24 10:23
Fast Gaussian Pairwise Constrained Spectral Clusterings are common in problems like coreference resolution in natural language processing. The approach developed in this paper is to learn a new representation space for the data together with a distance in this new space. The representation space is obtained through a constraint-driven linear transforma作者: 小溪 時(shí)間: 2025-3-24 13:12 作者: Nausea 時(shí)間: 2025-3-24 16:14
Domain Adaptation with Regularized Optimal Transportween the probability distribution functions of a source and a target domain, a non-linear and invertible transformation of the learning samples can be estimated. Any standard machine learning method can then be applied on the transformed set, which makes our method very generic. We propose a new opt作者: 館長(zhǎng) 時(shí)間: 2025-3-24 22:46 作者: MOAN 時(shí)間: 2025-3-24 23:17
Seyyed Abbas Hosseini,Hamid R. Rabiee,Hassan Hafez,Ali Soltani-Faranie zu fragen wagtest!.Mit vielen anschaulichen Grafiken und SDu stehst auf Kriegsfu? mit Inferenzstatistik, Hypothesentesten, SPSS usw., aber Du traust Dich oft nicht, vermeintlich dumme Fragen zu stellen? Stoffel, eine der drei Hauptpersonen dieses Statistiklehrbuchs für Einsteiger, stellt sie für D作者: 用肘 時(shí)間: 2025-3-25 05:35 作者: diathermy 時(shí)間: 2025-3-25 10:54 作者: 歡騰 時(shí)間: 2025-3-25 14:49
Miguel Araujo,Stephan Günnemann,Gonzalo Mateos,Christos Faloutsose zu fragen wagtest!.Mit vielen anschaulichen Grafiken und SDu stehst auf Kriegsfu? mit Inferenzstatistik, Hypothesentesten, SPSS usw., aber Du traust Dich oft nicht, vermeintlich dumme Fragen zu stellen? Stoffel, eine der drei Hauptpersonen dieses Statistiklehrbuchs für Einsteiger, stellt sie für D作者: 膠水 時(shí)間: 2025-3-25 19:51 作者: Lethargic 時(shí)間: 2025-3-25 21:50
Brigitte Boden,Martin Ester,Thomas Seidl, Fahrradfahren oder Schwimmen ben?tigt viel Lernerfahrung, doch nach monate- oder jahrelangem Training in der Kindheit erreichen wir die autonome Stufe des Fertigkeitserwerbs (siehe Kapitel 10) und k?nnen diese komplexen Bewegungen beil?ufig und ohne Aufwand ausführen. Der Bereich Expertise kann ne作者: 廢除 時(shí)間: 2025-3-26 02:55
Jesús Cid-Sueiro,Darío García-García,Raúl Santos-Rodríguez?ffnen den Lernort Schule bzw. Universit?t und legen den Fokus auf Eigenverantwortung sowie Reflexion aufseiten der Teilnehmenden. Die Vermutung liegt nahe, dass die Teilnehmer:innen BNE-Kompetenzen aus dem Modell nach de Haan et al. (2008) entwickeln und zu gestaltungskompetenten Individuen werden,作者: Malleable 時(shí)間: 2025-3-26 06:37 作者: Melanoma 時(shí)間: 2025-3-26 10:41 作者: Optic-Disk 時(shí)間: 2025-3-26 12:59
Nicolas Courty,Rémi Flamary,Devis Tuiaren sukzessive an und ein Abflachen dieses Trends ist derzeit nicht erkennbar. Doch insbesondere zu den Lernprozessen am Arbeitsplatz sowie zu den Wirkungen der Praxisphasen ist forschungsseitig bislang wenig bekannt. An diesen Forschungsdesiderata setzt die vorliegende Monografie an: In einem Forsc作者: Mechanics 時(shí)間: 2025-3-26 20:15
Xuan Hong Dang,Ambuj K. Singh,Petko Bogdanov,Hongyuan You,Bayyuan Hsungenen Jahren sukzessive an und ein Abflachen dieses Trends ist derzeit nicht erkennbar. Doch insbesondere zu den Lernprozessen am Arbeitsplatz sowie zu den Wirkungen der Praxisphasen ist forschungsseitig bislang wenig bekannt. An diesen Forschungsdesiderata setzt die vorliegende Monografie an: In e作者: 背景 時(shí)間: 2025-3-26 22:30 作者: 樸素 時(shí)間: 2025-3-27 01:51 作者: 陪審團(tuán) 時(shí)間: 2025-3-27 08:01 作者: 信條 時(shí)間: 2025-3-27 13:25
Conference proceedings 2014pers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases..作者: Conducive 時(shí)間: 2025-3-27 17:06 作者: 繞著哥哥問 時(shí)間: 2025-3-27 18:05
Beyond Blocks: Hyperbolic Community Detectioncture. We show that our method is effective in finding communities with a similar structure to self-declared ones. We report findings in real social networks, including a community in a blogging platform with over 34 million edges in which more than 1000 users established over 300 000 relations.作者: Acetabulum 時(shí)間: 2025-3-27 22:31
Density-Based Subspace Clustering in Heterogeneous Networksce. Unlike previous approaches for clustering heterogeneous networks, TCSC enables the detection of clusters that show similarity only in a subset of the attributes, which is more effective in the presence of a large number of attributes.作者: 豐滿有漂亮 時(shí)間: 2025-3-28 04:07 作者: Canyon 時(shí)間: 2025-3-28 09:40 作者: 陰險(xiǎn) 時(shí)間: 2025-3-28 11:03 作者: habile 時(shí)間: 2025-3-28 17:43
Domain Adaptation with Regularized Optimal Transportnt increase in performance compared to the original transport solution. The proposed algorithm is computationally efficient and effective, as illustrated by its evaluation on a toy example and a challenging real life vision dataset, against which it achieves competitive results with respect to state-of-the-art methods.作者: blackout 時(shí)間: 2025-3-28 20:02 作者: 別名 時(shí)間: 2025-3-28 23:37 作者: 歌唱隊(duì) 時(shí)間: 2025-3-29 03:17 作者: amplitude 時(shí)間: 2025-3-29 08:47 作者: 沒有準(zhǔn)備 時(shí)間: 2025-3-29 13:28
Concurrent Bandits and Cognitive Radio Networksh a collision avoidance mechanism. We analyze its regret with respect to the system-wide optimum and show that sub-linear regret can be obtained in this setting. Experiments show dramatic improvement compared to other algorithms for this setting.作者: originality 時(shí)間: 2025-3-29 16:23 作者: 失眠癥 時(shí)間: 2025-3-29 20:25
https://doi.org/10.1007/978-3-662-44848-9artificial intelligence; association rules; clustering; collaborative filtering; content ranking; data an作者: Thyroiditis 時(shí)間: 2025-3-30 02:49 作者: 生命 時(shí)間: 2025-3-30 06:03 作者: 細(xì)頸瓶 時(shí)間: 2025-3-30 11:32
Machine Learning and Knowledge Discovery in Databases978-3-662-44848-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: atopic-rhinitis 時(shí)間: 2025-3-30 13:07
Fast Nearest Neighbor Search on Large Time-Evolving Graphsformation as the graph changes. At query time, we combine this information from a small set of relevant clusters and compute . scores efficiently. We validate the effectiveness of our method on large real-world graphs from diverse domains. To the best of our knowledge, this is one of the few works t作者: 愉快么 時(shí)間: 2025-3-30 19:46
Deconstructing Kernel Machinesthat with .(.) number of queries, the type of kernel function and the (kernel) subspace spanned by the support vectors can be determined. In particular, for polynomial kernels, additional .(..) queries are sufficient to reconstruct the entire decision boundary, providing a set of quasi-support vecto作者: Cryptic 時(shí)間: 2025-3-30 22:34
Kernel Principal Geodesic Analysis methods for (i)?dimensionality reduction and (ii)?clustering using mixture-model fitting. The results, on simulated and real-world data, show that kPGA-based methods perform favorably relative to their kPCA-based analogs.作者: Acetaminophen 時(shí)間: 2025-3-31 03:11
Knowledge-Powered Deep Learning for Word Embedding knowledge to define new basis for word representation, provide additional input information, and serve as auxiliary supervision in deep learning, respectively. Experiments on an analogical reasoning task, a word similarity task, and a word completion task have all demonstrated that knowledge-powere作者: CANE 時(shí)間: 2025-3-31 08:47
Active Learning for Support Vector Machines with Maximum Model Changeorder to provide a theoretical justification for margin-based strategies. Extensive experimental results on various benchmark data sets from UCI machine learning repository have demonstrated the effectiveness and efficiency of the proposed method.作者: hardheaded 時(shí)間: 2025-3-31 09:33 作者: Odyssey 時(shí)間: 2025-3-31 14:52
Seyyed Abbas Hosseini,Hamid R. Rabiee,Hassan Hafez,Ali Soltani-Faraniten Statistikkenntnissen k?nnen das Buch mit seinen umfangreichen übersichten und genauen Ablaufpl?nen zu den statistischen Verfahren als komfortable Erinnerungshilfe und Nachschlagewerk verwenden.978-3-662-56081-5978-3-662-56082-2Series ISSN 0937-7433 Series E-ISSN 2512-5214 作者: Biofeedback 時(shí)間: 2025-3-31 20:54 作者: 軟膏 時(shí)間: 2025-3-31 21:41
Mohsen Ali,Muhammad Rushdi,Jeffrey Hoten Statistikkenntnissen k?nnen das Buch mit seinen umfangreichen übersichten und genauen Ablaufpl?nen zu den statistischen Verfahren als komfortable Erinnerungshilfe und Nachschlagewerk verwenden.978-3-662-56081-5978-3-662-56082-2Series ISSN 0937-7433 Series E-ISSN 2512-5214 作者: Aqueous-Humor 時(shí)間: 2025-4-1 05:46 作者: entice 時(shí)間: 2025-4-1 06:39
Jiang Bian,Bin Gao,Tie-Yan Liuufig jedoch nicht so allt?gliche Leistungen untersucht, sondern eher herausragende Formen der Expertise z. B. Leistungen im Spitzensport in Bezug auf motorische Expertise, die Diagnose mitt els R?ntgenbildern bei perzeptueller Expertise, und Schachspielen in Bezug auf kognitive Expertise. Bei solch 作者: maculated 時(shí)間: 2025-4-1 11:49
Brigitte Boden,Martin Ester,Thomas Seidlufig jedoch nicht so allt?gliche Leistungen untersucht, sondern eher herausragende Formen der Expertise z. B. Leistungen im Spitzensport in Bezug auf motorische Expertise, die Diagnose mitt els R?ntgenbildern bei perzeptueller Expertise, und Schachspielen in Bezug auf kognitive Expertise. Bei solch 作者: 矛盾 時(shí)間: 2025-4-1 16:30
