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: Constrict 時(shí)間: 2025-3-21 18:45
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: hemoglobin 時(shí)間: 2025-3-21 20:19
P. K. Srijith,Shirish Shevadezur Diagnostik und F?rderung, wie z.B.: Kann man ein Risiko für Lese-Rechtschreibschwierigkeiten bereits im Vorschulalter feststellen? Welche Verfahren werden für die Diagnostik der Lese-Rechtschreibst?rung ein978-3-642-41841-9978-3-642-41842-6作者: 定點(diǎn) 時(shí)間: 2025-3-22 00:38 作者: 平息 時(shí)間: 2025-3-22 07:33 作者: Kidney-Failure 時(shí)間: 2025-3-22 09:40
Karthik Subbian,Chidananda Sridhar,Charu C. Aggarwal,Jaideep Srivastava作者: 小平面 時(shí)間: 2025-3-22 16:32
Grigorios Tsoumakas,Eleftherios Spyromitros-Xioufis,Aikaterini Vrekou,Ioannis Vlahavas作者: intimate 時(shí)間: 2025-3-22 17:26
Kevin Vervier,Pierre Mahé,Alexandre D’Aspremont,Jean-Baptiste Veyrieras,Jean-Philippe Vert作者: 盡忠 時(shí)間: 2025-3-22 21:51 作者: Melatonin 時(shí)間: 2025-3-23 01:48 作者: callous 時(shí)間: 2025-3-23 07:09
Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential Families used with generic algorithms for mixture models such as Bregman Soft Clustering, in which case lots of formulas from the canonical decomposition of the family need to be implemented. We thus illustrate our library by generating code which can be plugged into generic Expectation-Maximization schemes作者: 敲詐 時(shí)間: 2025-3-23 13:32 作者: 藥物 時(shí)間: 2025-3-23 16:15
Gaussian Process Multi-task Learning Using Joint Feature Selectionin an optimization problem which is solved using a block co-ordinate descent algorithm. Experimental results on synthetic and real world multi-task learning data sets demonstrate that the flexibility of the proposed model is useful in getting better generalization performance.作者: 表兩個(gè) 時(shí)間: 2025-3-23 19:18 作者: 聯(lián)想 時(shí)間: 2025-3-24 01:31 作者: MOTIF 時(shí)間: 2025-3-24 03:30
Evidence-Based Clustering for Scalable Inference in Markov Logic MLN having, say, . objects by an MLN having k objects such that .
作者: wreathe 時(shí)間: 2025-3-24 08:19 作者: contrast-medium 時(shí)間: 2025-3-24 12:15
Tanwistha Saha,Huzefa Rangwala,Carlotta Domeniconiar assertion in the mainstream media by that time, was at least somewhat inaccurate. Indeed, doing archival research on the media hype surrounding what was known as “l(fā)esbian chic” in the early 1990s as a grounding for my research showed me that the types of articles discussing lesbian chic in the 19作者: 暫時(shí)過來 時(shí)間: 2025-3-24 16:02 作者: 反復(fù)拉緊 時(shí)間: 2025-3-24 21:00 作者: 大量殺死 時(shí)間: 2025-3-25 01:29 作者: Ruptured-Disk 時(shí)間: 2025-3-25 06:36
Scalable Moment-Based Inference for Latent Dirichlet Allocationwork, we propose a speedup technique by leveraging the special structure of the tensors. It is efficient in both time and space, and only requires scanning the corpus twice. It improves over the state-of-the-art inference algorithm by one to three orders of magnitude, while preserving equal inference ability.作者: 火車車輪 時(shí)間: 2025-3-25 11:18
0302-9743 edge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers c作者: 輕率看法 時(shí)間: 2025-3-25 12:18 作者: Cholagogue 時(shí)間: 2025-3-25 19:52
Statistical Hypothesis Testing in Positive Unlabelled Datato observe a desired statistical effect. Beyond general hypothesis testing, we suggest the tools will additionally be useful for information theoretic feature selection, and Bayesian Network structure learning.作者: 沙發(fā) 時(shí)間: 2025-3-25 23:40 作者: 不能仁慈 時(shí)間: 2025-3-26 03:30 作者: 轉(zhuǎn)折點(diǎn) 時(shí)間: 2025-3-26 05:29
Multi-target Regression via Random Linear Target Combinationsgnificantly better than a strong baseline that learns a single model for each target using gradient boosting and compares favourably to multi-objective random forest approach, which is a state-of-the-art approach. The experiments further show that our approach improves more when stronger unconditional dependencies exist among the targets.作者: Infant 時(shí)間: 2025-3-26 09:21
Ratio-Based Multiple Kernel Clusteringkernel parameters. Optimization of the objective is performed using an iterative gradient-based algorithm. Comparative clustering experiments on various datasets demonstrate the effectiveness of the proposed formulation.作者: 自然環(huán)境 時(shí)間: 2025-3-26 13:28
Conference proceedings 2014very in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the l作者: Glucocorticoids 時(shí)間: 2025-3-26 20:17 作者: Camouflage 時(shí)間: 2025-3-26 22:42
0302-9743 over the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.978-3-662-44844-1978-3-662-44845-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 勉強(qiáng) 時(shí)間: 2025-3-27 03:02
Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learningoperates top-down. Hence, in this paper we propose that criteria for evaluating rule refinements should reflect this by operating in an inverted coverage space. We motivate this choice by examples, and show that a suitably adapted rule learning algorithm outperforms its original counter-part on a large set of benchmark problems.作者: 使入迷 時(shí)間: 2025-3-27 07:25
Integer Bayesian Network Classifiers for the computation of margin maximizing integer parameters is presented and its efficiency is demonstrated. The resulting parameters have superior classification performance compared to parameters obtained by simple rounding of double-precision parameters, particularly for very low number of bits.作者: 抱狗不敢前 時(shí)間: 2025-3-27 12:23
On Learning Matrices with Orthogonal Columns or Disjoint Supportsecreases, leading to new algorithmic solutions to minimize it. We also investigate concave formulations of this norm, corresponding to more aggressive strategies to induce orthogonality, and show how these penalties can also be used to learn sparse models with disjoint supports.作者: 發(fā)出眩目光芒 時(shí)間: 2025-3-27 17:41 作者: 褪色 時(shí)間: 2025-3-27 18:56
ity was removed from National Board of Health and Welfare’s manual of psychological disorders in 1979 and has gradually gained acceptance in Sweden. Parliament has taken several measures to strengthen the status of LGBTQ people, mainly through legislation. Discrimination against homosexuals has been作者: 欄桿 時(shí)間: 2025-3-27 23:33 作者: 緊張過度 時(shí)間: 2025-3-28 06:01
Hiroaki Sasaki,Aapo Hyv?rinen,Masashi Sugiyamatory, a tipping point perhaps, where the inclusion of some lesbians in the mainstream, the assimilationist trajectory of current lesbian culture, capitalism, and various other factors would produce a mainstreamed lesbianism. As I was examining these images and narratives as they were occurring or sh作者: glamor 時(shí)間: 2025-3-28 07:49 作者: podiatrist 時(shí)間: 2025-3-28 10:31 作者: Assemble 時(shí)間: 2025-3-28 17:28
Nikolaj Tattierstehen.Leicht verst?ndlich, nicht beweisvollst?ndig. Es wi.Dieses Buch ist eine Begleitlektüre zum ersten Jahr des Mathematikstudiums und darüber hinaus. Im Mittelpunkt stehen Motivation und Erl?uterung der zentralen Begriffsbildungen anhand von Beispielen und exemplarischen Resultaten. .Ausgehend作者: 細(xì)節(jié) 時(shí)間: 2025-3-28 21:21 作者: META 時(shí)間: 2025-3-29 00:57 作者: exophthalmos 時(shí)間: 2025-3-29 05:51
Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Densitylusters in advance, the mean shift has been a popular clustering algorithm in various application fields. A typical implementation of the mean shift is to first estimate the density by kernel density estimation and then compute its gradient. However, since a good density estimation does not necessar作者: refraction 時(shí)間: 2025-3-29 08:22
Local Policy Search in a Convex Space and Conservative Policy Iteration as Boosted Policy Searchicy space in order to maximize the associated value function averaged over some predefined distribution. The best one can hope in general from such an approach is to get a local optimum of this criterion. The first contribution of this article is the following surprising result: if the policy space 作者: 四溢 時(shí)間: 2025-3-29 14:08
Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential Familiesathematical formulas in computer programs is often error-prone, difficult to debug and difficult to read afterwards. Moreover, this implementation is heavily dependent of the programming language used and often needs an important knowledge of the idioms of the language. In our system, formulas are d作者: NEXUS 時(shí)間: 2025-3-29 19:20 作者: sulcus 時(shí)間: 2025-3-29 22:03
Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Usied dataset with students and teachers; Teachers prepared lessons on various topics. Students read lessons by various teachers and then solved a multiple choice exam. Our model gets input data regarding past interactions between students and teachers and past student attainment. It then estimates abi作者: 嫌惡 時(shí)間: 2025-3-30 03:17
Gaussian Process Multi-task Learning Using Joint Feature Selectionomising idea to multi-task learning is joint feature selection where a sparsity pattern is shared across task specific feature representations. In this paper, we propose a novel Gaussian Process (GP) approach to multi-task learning based on joint feature selection. The novelty of the proposed approa作者: Contracture 時(shí)間: 2025-3-30 05:38 作者: opportune 時(shí)間: 2025-3-30 11:29 作者: 有角 時(shí)間: 2025-3-30 15:22
Link Prediction in Multi-modal Social Networks majority of earlier work in link prediction infers new interactions between users by mainly focusing on a single network type. However, users also form several . social networks through their daily interactions like commenting on people’s posts or rating similarly the same products. Prior work prim作者: Harbor 時(shí)間: 2025-3-30 16:38 作者: wangle 時(shí)間: 2025-3-30 21:13 作者: 演講 時(shí)間: 2025-3-31 03:06 作者: enflame 時(shí)間: 2025-3-31 08:46
Integer Bayesian Network Classifiers. These networks allow for efficient implementation in hardware while maintaining a (partial) probabilistic interpretation under scaling. An algorithm for the computation of margin maximizing integer parameters is presented and its efficiency is demonstrated. The resulting parameters have superior c作者: 出汗 時(shí)間: 2025-3-31 10:10 作者: MOAN 時(shí)間: 2025-3-31 16:28 作者: 巨頭 時(shí)間: 2025-3-31 19:48 作者: hysterectomy 時(shí)間: 2025-3-31 21:40
On Learning Matrices with Orthogonal Columns or Disjoint Supportssed a strictly convex matrix norm for orthogonal transfer. We show that this norm converges to a particular atomic norm when its convexity parameter decreases, leading to new algorithmic solutions to minimize it. We also investigate concave formulations of this norm, corresponding to more aggressive作者: homeostasis 時(shí)間: 2025-4-1 05:40 作者: CURL 時(shí)間: 2025-4-1 07:12 作者: 謙虛的人 時(shí)間: 2025-4-1 12:36 作者: menopause 時(shí)間: 2025-4-1 17:30
https://doi.org/10.1007/978-3-662-44845-8artificial intelligence; association rules; clustering; collaborative filtering; content ranking; data an作者: Pde5-Inhibitors 時(shí)間: 2025-4-1 18:58
