標(biāo)題: Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Wray Buntine,Marko Grobelnik,John Shawe-Taylor Conference proce [打印本頁] 作者: Capricious 時間: 2025-3-21 17:07
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: Pamphlet 時間: 2025-3-21 23:26 作者: 人造 時間: 2025-3-22 02:11 作者: Tdd526 時間: 2025-3-22 05:38 作者: GEAR 時間: 2025-3-22 11:15 作者: cleaver 時間: 2025-3-22 14:36 作者: patriot 時間: 2025-3-22 18:14 作者: Bravura 時間: 2025-3-22 23:00
Sparse Kernel SVMs via Cutting-Plane Training is often hindered by the following two problems. Both problems can be traced back to the number of Support Vectors (SVs), which is known to generally grow linearly with the data set size [1]. First, training is slower than other methods and linear SVMs, where recent advances in training algorithms 作者: Infraction 時間: 2025-3-23 01:41
Hybrid Least-Squares Algorithms for Approximate Policy Evaluation different choices of the optimization criterion. Two popular least-squares algorithms for performing this task are the . method, which minimizes the Bellman residual, and the . method, which minimizes the . of the Bellman residual. When used within policy iteration, the fixed point algorithm tends 作者: 商談 時間: 2025-3-23 05:34
A Self-training Approach to Cost Sensitive Uncertainty Sampling such as loss-reduction methods. However, unlike loss-reduction methods, uncertainty sampling cannot minimize total misclassification costs when errors incur different costs. This paper introduces a method for performing cost-sensitive uncertainty sampling that makes use of self-training. We show th作者: CANE 時間: 2025-3-23 12:43
Learning Multi-linear Representations of Distributions for Efficient Inferencehave been considered as intermediate representations that facilitate inference in distributions represented as graphical models..We show that MLR is an expressive representation of discrete distributions and can be used to concisely represent classes of distributions which have exponential size in o作者: puzzle 時間: 2025-3-23 13:53 作者: 集合 時間: 2025-3-23 19:38
RTG: A Recursive Realistic Graph Generator Using Random Typinge of generating the cross product of weighted/ unweighted, directed/undirected, uni/bipartite graphs; (b) realistic, giving graphs that obey . static and dynamic laws that real graphs follow (we formally prove that for several of the (power) laws and we estimate their exponents as a function of the 作者: MARS 時間: 2025-3-23 22:48
Taxonomy-Driven Lumping for Sequence Mininga trajectory, or biomedical phenomena, there is often a taxonomy that should be taken into consideration. A taxonomy allow us to represent the information at a more general description level, if we choose carefully the most suitable level of granularity..Given a taxonomy of events and a dataset of s作者: SLUMP 時間: 2025-3-24 05:54 作者: 泥土謙卑 時間: 2025-3-24 07:39 作者: 騙子 時間: 2025-3-24 13:05 作者: d-limonene 時間: 2025-3-24 17:18
Two-Way Analysis of High-Dimensional Collinear Data. Modern cellular measurement methods are a main application area; typically the task is differential analysis between diseased and healthy samples, complicated by additional covariates requiring a multi-way analysis. The main complication is the combination of high dimensionality and low sample siz作者: 直覺好 時間: 2025-3-24 20:48 作者: Congregate 時間: 2025-3-24 23:30
Themas kam vor allem dadurch zustande, dass Studien wie PISA oder DESI einem gro?en Anteil deutscher Jugendlicher am Ende der Pflichtschulzeit attestierte, über ein für die Teilhabe an literalen Gesellschaften in der gegenw?rtigen Verfasstheit notwendiges Ma? an Lesef?higkeiten nicht zu verfügen (vg作者: inundate 時間: 2025-3-25 07:13 作者: 人造 時間: 2025-3-25 09:04 作者: 導(dǎo)師 時間: 2025-3-25 14:50 作者: 花爭吵 時間: 2025-3-25 16:12 作者: 山間窄路 時間: 2025-3-25 22:36 作者: ENDOW 時間: 2025-3-26 03:07 作者: 受辱 時間: 2025-3-26 07:41
Dan Roth,Rajhans Samdanidie zugrunde liegende Ziel richtungsweisend: die empiriebasierte Generierung, unterrichtspraktische Erprobung und empirische Bewertung von spezifischen Aufgabenkriterien, die den Einsatz von Bilderbuch-Apps durch Reduzierung potenzieller Herausforderungen und Bereitstellung angemessener Formen der U作者: inferno 時間: 2025-3-26 11:38
Philipp Kranen,Thomas Seidlie Situation mittlerweile positiver dar. Wenn auch insgesamt die Zahl evaluierter F?rderma?nahmen noch ausbauf?hig scheint, sind sowohl im Bereich des basalen Lesens (der Leseflüssigkeit), des Leseverst?ndnisses und des Rechtschreibens inzwischen Verfahren verfügbar, die unterschiedliche Altersgrupp作者: Comedienne 時間: 2025-3-26 16:08
Matthijs van Leeuwen,Jilles Vreeken,Arno Siebesie Situation mittlerweile positiver dar. Wenn auch insgesamt die Zahl evaluierter F?rderma?nahmen noch ausbauf?hig scheint, sind sowohl im Bereich des basalen Lesens (der Leseflüssigkeit), des Leseverst?ndnisses und des Rechtschreibens inzwischen Verfahren verfügbar, die unterschiedliche Altersgrupp作者: BACLE 時間: 2025-3-26 19:23
Ilkka Huopaniemi,Tommi Suvitaival,Janne Nikkil?,Matej Ore?i?,Samuel Kaskich der Gründung der DDR eine neue Etappe in der Entwicklung der DDR-Presse. Nachdem sich die SED im Laufe der Jahre 1948/49 zu einer marxistisch-leninistischen Partei neuen Typs nach sowjetischem Vorbild entwickelt hatte, tat sie auf der ersten Pressekonferenz auch für das Gebiet des Pressewesens ?d作者: florid 時間: 2025-3-27 00:37 作者: 蝕刻術(shù) 時間: 2025-3-27 03:56
Conference proceedings 2009in Bled, Slovenia, in September 2009. The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 422 paper submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learnin作者: fleeting 時間: 2025-3-27 09:09 作者: FUME 時間: 2025-3-27 13:22
Are We There Yet?ranslation and speech recognition. As we celebrate the spectacular achievements of this line of research, we need to assess its full potential, its limitations and its position within the larger scheme of things. What are the next steps to take towards machine intelligence?作者: 時間等 時間: 2025-3-27 15:52 作者: Rheumatologist 時間: 2025-3-27 19:09 作者: Sleep-Paralysis 時間: 2025-3-28 00:53 作者: FILLY 時間: 2025-3-28 05:57 作者: 紳士 時間: 2025-3-28 09:37
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification to capture interdependencies between labels and, moreover, to combine model-based and similarity-based inference for multilabel classification. As will be shown by experimental studies, our approach is able to improve predictive accuracy in terms of several evaluation criteria for multilabel prediction.作者: cinder 時間: 2025-3-28 11:34
On Structured Output Training: Hard Cases and an Efficient Alternativeivers, prediction of individual routes can be used for intelligent car sharing applications or help optimise a hybrid vehicle’s charge/discharge schedule. We show that state-of-the-art structured prediction algorithms cannot guarantee polynomial runtime for this output set of cyclic permutations.作者: 高興去去 時間: 2025-3-28 17:10
Hybrid Least-Squares Algorithms for Approximate Policy Evaluation demonstrate their utility on a simple problem. Experimental results on both small and large domains suggest hybrid algorithms may find solutions that lead to better policies when performing policy iteration.作者: Allowance 時間: 2025-3-28 20:37
Learning Multi-linear Representations of Distributions for Efficient Inferencerithms for exact and approximate learning for MLR and, through a comparison with Bayes Net representations, demonstrate experimentally that MLR representations provide faster inference without sacrificing inference accuracy.作者: 喪失 時間: 2025-3-29 01:29 作者: 結(jié)束 時間: 2025-3-29 04:55 作者: 一瞥 時間: 2025-3-29 08:21 作者: 類人猿 時間: 2025-3-29 13:50 作者: 使迷惑 時間: 2025-3-29 17:28 作者: 財政 時間: 2025-3-29 20:30
A Fast Ensemble Pruning Algorithm Based on Pattern Mining Processzes, the one with the best accuracy is outputted. Compared with Bagging, GASEN, and Forward Selection, experimental results show that PMEP achieves the best prediction accuracy and keeps the size of the final ensemble small, more importantly, its pruning time is much less than other ensemble pruning algorithms.作者: 表狀態(tài) 時間: 2025-3-30 00:38 作者: Radiation 時間: 2025-3-30 06:43 作者: 生氣的邊緣 時間: 2025-3-30 10:30 作者: semble 時間: 2025-3-30 16:17 作者: 品牌 時間: 2025-3-30 18:30
978-3-642-04179-2Springer-Verlag Berlin Heidelberg 2009作者: 帶子 時間: 2025-3-30 22:21
Machine Learning and Knowledge Discovery in Databases978-3-642-04180-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: chronology 時間: 2025-3-31 03:07 作者: BOAST 時間: 2025-3-31 05:14
Harnessing the Strengths of Anytime Algorithms for Constant Data Streamsd in this paper is to improve the quality of the result over that of traditional budget approaches, which are used in an abundance of stream mining applications. Using anytime classification as an example application we show for SVM, Bayes and nearest neighbor classifiers that both our novel approac作者: anaerobic 時間: 2025-3-31 09:44
Raúl Santos-Rodríguez,Alicia Guerrero-Curieses,Rocío Alaiz-Rodríguez,Jesús Cid-Sueiro作者: gerrymander 時間: 2025-3-31 15:28
Francesco Bonchi,Carlos Castillo,Debora Donato,Aristides Gionis作者: 魅力 時間: 2025-3-31 17:48 作者: 凹處 時間: 2025-4-1 01:10 作者: 緩和 時間: 2025-4-1 04:10 作者: 混合 時間: 2025-4-1 07:12
Shai Ben-Davidas basale Fertigkeiten nicht überschreitet (vgl. Baumert & Schümer, 2001; Rolff, Leucht & R?sner, 2008, S. 296; Stanat & Schneider, 2004). Das verweist auf die soziale Bedingtheit des Leseverstehens und damit darauf, Lesekompetenz als normativ bestimmbares Ziel wie empirisch nachweisliche Auspr?gung