標(biāo)題: Titlebook: Learning Theory; 19th Annual Conferen Gábor Lugosi,Hans Ulrich Simon Conference proceedings 2006 Springer-Verlag Berlin Heidelberg 2006 Clu [打印本頁] 作者: Coagulant 時間: 2025-3-21 16:11
書目名稱Learning Theory影響因子(影響力)
書目名稱Learning Theory影響因子(影響力)學(xué)科排名
書目名稱Learning Theory網(wǎng)絡(luò)公開度
書目名稱Learning Theory網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Learning Theory被引頻次
書目名稱Learning Theory被引頻次學(xué)科排名
書目名稱Learning Theory年度引用
書目名稱Learning Theory年度引用學(xué)科排名
書目名稱Learning Theory讀者反饋
書目名稱Learning Theory讀者反饋學(xué)科排名
作者: 取消 時間: 2025-3-21 21:52 作者: 面包屑 時間: 2025-3-22 00:53
https://doi.org/10.1007/11776420Clustering stability; Support Vector Machine; algorithmic learning; classification; computational learni作者: 可以任性 時間: 2025-3-22 05:56 作者: 清晰 時間: 2025-3-22 11:38
Learning Theory978-3-540-35296-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 啪心兒跳動 時間: 2025-3-22 15:30 作者: Amenable 時間: 2025-3-22 20:24 作者: 現(xiàn)任者 時間: 2025-3-22 22:47 作者: cringe 時間: 2025-3-23 02:17 作者: GREEN 時間: 2025-3-23 05:45
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/l/image/582821.jpg作者: 減去 時間: 2025-3-23 09:54 作者: Antecedent 時間: 2025-3-23 17:28
Luc Devroyerceive the world and process information. They rely upon some sophisticated technologies that provide a wealth of options for us — individually and collaboratively — to gather and manipulate information, and results in the creativity spawned from synergy.作者: 無瑕疵 時間: 2025-3-23 21:07
Gy?rgy Turánrceive the world and process information. They rely upon some sophisticated technologies that provide a wealth of options for us — individually and collaboratively — to gather and manipulate information, and results in the creativity spawned from synergy.作者: Introvert 時間: 2025-3-24 02:05
Vladimir Vovkte too narrow and rigid boundaries to learning and innovation within firms. We propose the study of actual and foreseeable sequences as a means to giving dynamism to such taxonomy, and as a basis for the discussion of relevant implications for policy-making. With these objectives in mind, we ran a s作者: 紅潤 時間: 2025-3-24 05:42
Shai Ben-David,Ulrike von Luxburg,Dávid Pálw innovative level have a distinctly lower learning capability than the more innovative firms. Moreover, in some circumstances the firms with a free-rider behavior seem to show, at the same time, a less intensive learning effect. So the main conclusions of this chapter are that the less innovative f作者: 慢慢流出 時間: 2025-3-24 09:29
Jon Feldman,Rocco A. Servedio,Ryan O’Donnellte too narrow and rigid boundaries to learning and innovation within firms. We propose the study of actual and foreseeable sequences as a means to giving dynamism to such taxonomy, and as a basis for the discussion of relevant implications for policy-making. With these objectives in mind, we ran a s作者: Deduct 時間: 2025-3-24 13:27
Ran El-Yaniv,Dmitry Pechyonyw innovative level have a distinctly lower learning capability than the more innovative firms. Moreover, in some circumstances the firms with a free-rider behavior seem to show, at the same time, a less intensive learning effect. So the main conclusions of this chapter are that the less innovative f作者: larder 時間: 2025-3-24 17:17 作者: 帽子 時間: 2025-3-24 23:02 作者: 激怒某人 時間: 2025-3-25 01:34 作者: Oratory 時間: 2025-3-25 05:53
Magalie Fromont,Christine Tuleau and the students have provided helpful feedback for the contents of the book. The author is particularly grateful for the contributions of Antonios Michailidis and Alex Birchall. Antonios‘s influence is most prominent in the chapters on groups, and Alex‘s, in the latter chapters on organizations. Claude Ghao978-0-387-94485-2978-1-4612-4226-0作者: parallelism 時間: 2025-3-25 08:15 作者: Malfunction 時間: 2025-3-25 15:23
Miroslav Dudík,Robert E. Schapiretudents have provided helpful feedback for the contents of the book. The author is particularly grateful for the contributions of Antonios Michailidis and Alex Birchall. Antonios‘s influence is most prominent in the chapters on groups, and Alex‘s, in the latter chapters on organizations. Claude Ghao作者: bizarre 時間: 2025-3-25 18:42
Yasemin Altun,Alex Smola and the students have provided helpful feedback for the contents of the book. The author is particularly grateful for the contributions of Antonios Michailidis and Alex Birchall. Antonios‘s influence is most prominent in the chapters on groups, and Alex‘s, in the latter chapters on organizations. Claude Ghao978-0-387-94485-2978-1-4612-4226-0作者: 刪除 時間: 2025-3-25 22:02
Ha Quang Minh,Partha Niyogi,Yuan Yaotudents have provided helpful feedback for the contents of the book. The author is particularly grateful for the contributions of Antonios Michailidis and Alex Birchall. Antonios‘s influence is most prominent in the chapters on groups, and Alex‘s, in the latter chapters on organizations. Claude Ghao作者: 引水渠 時間: 2025-3-26 00:47 作者: 有組織 時間: 2025-3-26 05:23
A Sober Look at Clustering Stabilityelated to clustering parameters. We prove our results for center-based clusterings and for spectral clustering, and support our conclusions by many examples in which the behavior of stability is counter-intuitive.作者: 伸展 時間: 2025-3-26 11:56 作者: Glucose 時間: 2025-3-26 14:07
Functional Classification with Margin Conditionsssumptions. We prove that using a penalty of smaller order or equal to zero is preferable both in theory and practice. Our experimental study furthermore shows that the introduction of a small-order penalty stabilizes the selection process, while preserving rather good performances.作者: RUPT 時間: 2025-3-26 17:35 作者: 縮影 時間: 2025-3-26 21:07 作者: 容易生皺紋 時間: 2025-3-27 01:51
On Optimal Learning Algorithms for Multiplicity Automataory to simplify the algorithms and the proofs of their correctness. We improve the arithmetic complexity of the problem and argue that it is almost optimal. Then we prove tight bound for the minimal number of equivalence queries and almost (up to . factor) tight bound for the number of membership queries.作者: muffler 時間: 2025-3-27 07:39
Teaching Randomized Learners only or teaching with inconsistent teachers..Furthermore, we provide characterization theorems for teachability from positive data for both ordinary teachers and inconsistent teachers with and without feedback.作者: 拖網(wǎng) 時間: 2025-3-27 09:36 作者: 好忠告人 時間: 2025-3-27 16:43 作者: 休息 時間: 2025-3-27 19:11 作者: 沉默 時間: 2025-3-28 00:05 作者: STIT 時間: 2025-3-28 04:14
Exact Learning Composed Classes with a Small Number of Mistakesattribute efficient learnable class with a learnable class with polynomial shatter coefficient gives a learnable class..This result extends many results in the literature and gives polynomial learning algorithms for new classes.作者: 污穢 時間: 2025-3-28 06:25 作者: capillaries 時間: 2025-3-28 14:05
Learning Bounds for Support Vector Machines with Learned Kernels in previous (multiplicative) bounds, there is no non-negativity requirement on the coefficients of the linear combinations. We also give simple bounds on the pseudodimension for families of Gaussian kernels.作者: Influx 時間: 2025-3-28 16:36
Random Multivariate Search Treesr kd-trees, quadtrees, BSP trees, simplex trees, grid trees, epsilon nets, and many other structures. The height of these trees is logarithmic in the data size for random input. Some search operations such as range search and nearest neighbor search have surprising complexities. So, we will give a b作者: 災(zāi)禍 時間: 2025-3-28 21:26 作者: 死貓他燒焦 時間: 2025-3-28 23:24 作者: 用肘 時間: 2025-3-29 04:11
PAC Learning Axis-Aligned Mixtures of Gaussians with No Separation Assumptions introduced by Kearns?et?al. [13]. Here the task is to construct a hypothesis mixture of Gaussians that is statistically indistinguishable from the actual mixture generating the data; specifically, the KL?divergence should be at most ...In this scenario, we give a poly(./.) time algorithm that lear作者: 新娘 時間: 2025-3-29 08:56
Stable Transductive Learningres the sensitivity of the algorithm to most pairwise exchanges of training and test set points. Our bound is based on a novel concentration inequality for symmetric functions of permutations. We also present a simple sampling technique that can estimate, with high probability, the weak stability of作者: Irksome 時間: 2025-3-29 12:25 作者: Tempor 時間: 2025-3-29 17:46 作者: abracadabra 時間: 2025-3-29 21:31
Functional Classification with Margin Conditionsthis sample a classifier that is a function which would predict the value of . from the observation of .. The special case where . is a functional space is of particular interest due to the so called .. In a recent paper, Biau . [1] propose to filter the ..’s in the Fourier basis and to apply the cl作者: 虛構(gòu)的東西 時間: 2025-3-30 01:02 作者: Madrigal 時間: 2025-3-30 06:00
Maximum Entropy Distribution Estimation with Generalized Regularizationor, alternatively, by convex regularization. We provide fully general performance guarantees and an algorithm with a complete convergence proof. As special cases, we can easily derive performance guarantees for many known regularization types, including ?., ?., . and ?. + . style regularization. Fur作者: compel 時間: 2025-3-30 11:37
Unifying Divergence Minimization and Statistical Inference Via Convex Dualityl of approximate maximum entropy estimation is maximum a posteriori estimation as a special case. Moreover, our treatment leads to stability and convergence bounds for many statistical learning problems. Finally, we show how an algorithm by Zhang can be used to solve this class of optimization probl作者: athlete’s-foot 時間: 2025-3-30 13:14
Learning Bounds for Support Vector Machines with Learned Kernelselative to which this margin is defined, is chosen from a family of kernels based on the training sample. For a kernel family with ..., we present a bound of . on the estimation error for SVMs with margin .. This is the first bound in which the relation between the margin term and the family-of-kern作者: 職業(yè) 時間: 2025-3-30 18:00
On Optimal Learning Algorithms for Multiplicity Automatar more of the following resources: Equivalence queries, Membership queries or Arithmetic operations in the field .. This is in particular interesting when access to one or more of the above resources is significantly more expensive than the others..We apply new algebraic approach based on Matrix The作者: Pathogen 時間: 2025-3-30 23:22
Exact Learning Composed Classes with a Small Number of Mistakesa class of polynomial number of concepts gives a learnable class. In this paper we extend the Composition Lemma as follows: we show that composing an attribute efficient learnable class with a learnable class with polynomial shatter coefficient gives a learnable class..This result extends many resul作者: 大漩渦 時間: 2025-3-31 02:04 作者: 中止 時間: 2025-3-31 06:49 作者: depreciate 時間: 2025-3-31 12:19 作者: arsenal 時間: 2025-3-31 15:24 作者: anticipate 時間: 2025-3-31 19:12
Gy?rgy Turán Using telecommunications we create a virtual reality involving people from around the globe simultaneously. This has significant applications in the arts, education, science, and industry since it provides a real-time, interactive link between people and projects in distant geographic locations. Te作者: 終端 時間: 2025-4-1 01:44
Vladimir Vovk on different modes of innovation and learning across firms and their production systems. On these bases we specify a particular taxonomy of firms based on the learning processes that operate within and across firms in specific local production systems. It is an important research objective as a det作者: 拋物線 時間: 2025-4-1 01:54 作者: 騷擾 時間: 2025-4-1 09:12 作者: OTTER 時間: 2025-4-1 13:59 作者: Traumatic-Grief 時間: 2025-4-1 16:14
Matthias Heinists of a set of operations on a given carrier set together with equational laws that characterise these operations. A well-know algebra is the algebra of natural numbers where addition and multiplication satisfy associativity and commutativity laws..To begin with, we show how to specify IMC in a pu作者: granite 時間: 2025-4-1 20:17
Andreas Maurerists of a set of operations on a given carrier set together with equational laws that characterise these operations. A well-know algebra is the algebra of natural numbers where addition and multiplication satisfy associativity and commutativity laws..To begin with, we show how to specify IMC in a pu
