作者: 平庸的人或物 時(shí)間: 2025-3-21 21:03 作者: 松緊帶 時(shí)間: 2025-3-22 04:24 作者: 消音器 時(shí)間: 2025-3-22 05:25
Some Rates of Convergence for the Selected Lasso Estimator and Meynet (2011) as an adaptation of the Lasso suited to deal with infinite dictionaries. We use the oracle inequality established by Massart and Meynet (2011) to derive rates of convergence of this estimator on a wide range of function classes described by interpolation spaces such as in Barron e作者: 增減字母法 時(shí)間: 2025-3-22 10:02
Recent Developments in Pattern Miningquent itemsets have been proposed. These exhaustive algorithms, however, all suffer from the pattern explosion problem. Depending on the minimal support threshold, even for moderately sized databases, millions of patterns may be generated. Although this problem is by now well recognized in te patter作者: 名字 時(shí)間: 2025-3-22 14:32
Exploring Sequential Datapages, or professional careers. Addressed topics include the rendering of state and event sequences, longitudinal characteristics of sequences, measuring pairwise dissimilarities and dissimilarity-based analysis of sequence data such as clustering, representative sequences, and regression trees. The作者: 討好女人 時(shí)間: 2025-3-22 20:55
Nader H. Bshouty,Gilles Stoltz,Thomas ZeugmannUp-to-date results.Fast track conference proceedings.State-of-the-art report作者: Entropion 時(shí)間: 2025-3-23 00:10 作者: 反對(duì) 時(shí)間: 2025-3-23 01:50
,Abschied vom Begriff der Homogenit?t,tures and the regular contributions are introduced in some more detail... It is now a tradition of the co-located conferences ALT and DS to have a joint invited speaker–namely this year, Luc De Raedt. Since 2006 he is a full research professor at the Department of Computer Science of the Katholieke 作者: prostate-gland 時(shí)間: 2025-3-23 06:34
Naturphilosophie und Naturwissenschaften,e learning or data mining techniques. This is because machine learning and data mining have focussed on developing high-performance algorithms for solving particular tasks rather than on developing general principles and techniques. I propose to alleviate these problems by applying the constraint pr作者: 準(zhǔn)則 時(shí)間: 2025-3-23 11:59
Naturphilosophie und Naturwissenschaften,ivalent to uniform convergence of the empirical risk to the population risk, and that if a problem is learnable, it is learnable via empirical risk minimization. The equivalence of uniform convergence and learnability was formally established only in the supervised classification and regression sett作者: 嚴(yán)重傷害 時(shí)間: 2025-3-23 17:07 作者: 火海 時(shí)間: 2025-3-23 19:00 作者: HALO 時(shí)間: 2025-3-24 02:16 作者: 擁護(hù) 時(shí)間: 2025-3-24 03:35 作者: 品牌 時(shí)間: 2025-3-24 06:35
978-3-642-34105-2Springer-Verlag Berlin Heidelberg 2012作者: insincerity 時(shí)間: 2025-3-24 11:17
Algorithmic Learning Theory978-3-642-34106-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: harrow 時(shí)間: 2025-3-24 18:27
Editors’ Introductionhe development of programming languages for machine learning, and analyzing graph and network data. In his talk Declarative Modeling for Machine Learning and Data Mining he notes that despite the popularity of machine learning and data mining today, it remains challenging to develop applications and作者: deviate 時(shí)間: 2025-3-24 21:19
Declarative Modeling for Machine Learning and Data Miningdata mining, in which the user specifies the problem in a high level modeling language and the system automatically transforms such models into a format that can be used by a solver to efficiently generate a solution. This should be much easier for the user than having to implement or adapt an algor作者: RAGE 時(shí)間: 2025-3-25 00:53 作者: 外科醫(yī)生 時(shí)間: 2025-3-25 05:50 作者: Intractable 時(shí)間: 2025-3-25 07:32
Naturphilosophie und Naturwissenschaften,data mining, in which the user specifies the problem in a high level modeling language and the system automatically transforms such models into a format that can be used by a solver to efficiently generate a solution. This should be much easier for the user than having to implement or adapt an algor作者: construct 時(shí)間: 2025-3-25 14:48 作者: habitat 時(shí)間: 2025-3-25 18:35 作者: 周興旺 時(shí)間: 2025-3-25 21:58 作者: 合群 時(shí)間: 2025-3-26 02:32
0302-9743 national Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October 2012. The conference was co-located and held in parallel with the 15th International Conference on Discovery Science, DS 2012. The 23 full papers and 5 invited talks presented were carefully reviewed and s作者: CEDE 時(shí)間: 2025-3-26 04:43
Mathias Hildebrandt,Manfred Brockering pairwise dissimilarities and dissimilarity-based analysis of sequence data such as clustering, representative sequences, and regression trees. The tutorial also provides a short introduction to the practice of sequence analysis with the . R-package.作者: 尖 時(shí)間: 2025-3-26 09:24 作者: 有惡意 時(shí)間: 2025-3-26 15:52
Naturphilosophie und Naturwissenschaften,ing. We show that in (even slightly) more complex prediction problems learnability does not imply uniform convergence. We discuss several alternative attempts to characterize learnability. This extended abstract summarizes results published in [5, 3].作者: Vulnerable 時(shí)間: 2025-3-26 20:35
https://doi.org/10.1007/978-3-531-91005-5t al. (2008). The results highlight that the selected Lasso estimator is adaptive to the smoothness of the function to be estimated, contrary to the classical Lasso or the greedy algorithm considered by Barron et al. (2008). Moreover, we prove that the rates of convergence of this estimator are optimal in the orthonormal case.作者: arousal 時(shí)間: 2025-3-27 01:00
Learnability beyond Uniform Convergenceing. We show that in (even slightly) more complex prediction problems learnability does not imply uniform convergence. We discuss several alternative attempts to characterize learnability. This extended abstract summarizes results published in [5, 3].作者: Terminal 時(shí)間: 2025-3-27 04:27 作者: Geyser 時(shí)間: 2025-3-27 05:35
Conference proceedings 2012 inference, teaching and PAC learning, statistical learning theory and classification, relations between models and data, bandit problems, online prediction of individual sequences, and other models of online learning.作者: 蝕刻術(shù) 時(shí)間: 2025-3-27 13:00
9樓作者: Cantankerous 時(shí)間: 2025-3-27 17:30
10樓作者: 推延 時(shí)間: 2025-3-27 21:18
10樓作者: HAIL 時(shí)間: 2025-3-28 01:49
10樓作者: 儲(chǔ)備 時(shí)間: 2025-3-28 02:46
10樓
