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Titlebook: Discovery Science; 12th International C Jo?o Gama,Vítor Santos Costa,Pavel B. Brazdil Conference proceedings 2009 Springer-Verlag Berlin He

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41#
發(fā)表于 2025-3-28 18:05:55 | 只看該作者
University Development and Administrationssive developers understand the structures and the components of open source programs even if documents about them are not provided sufficiently. Our method consists of two phases: (1) producing a mapping between the source files and the emails, and (2) constructing a lattice from the produced mappi
42#
發(fā)表于 2025-3-28 20:50:15 | 只看該作者
Discovery Science978-3-642-04747-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
43#
發(fā)表于 2025-3-28 23:36:43 | 只看該作者
44#
發(fā)表于 2025-3-29 03:50:55 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/281049.jpg
45#
發(fā)表于 2025-3-29 08:15:27 | 只看該作者
Inference and Learning in Planning (Extended Abstract),actions may be deterministic or not, and full or partial sensing may be available. In the last few years, significant progress has been made, resulting in algorithms that can produce plans effectively in a variety of settings. These developments have to do with the formulation and use of general inf
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發(fā)表于 2025-3-29 14:13:39 | 只看該作者
47#
發(fā)表于 2025-3-29 18:13:20 | 只看該作者
48#
發(fā)表于 2025-3-29 21:00:52 | 只看該作者
Learning and Domain Adaptation,orming well on a different, yet related, domain for which no labeled data is available. This generalization across domains is a very significant challenge for many machine learning applications and arises in a variety of natural settings, including NLP tasks (document classification, sentiment analy
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發(fā)表于 2025-3-30 00:40:21 | 只看該作者
50#
發(fā)表于 2025-3-30 06:38:23 | 只看該作者
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting,nce consist of entities associated with nodes for which labels are known and interlinked with nodes for which labels must be estimated. The premise of this work is that many networked datasets are characterized by a form of autocorrelation where values of the response variable in a node depend on va
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