Bush 发表于 2025-3-21 16:50:16

书目名称Algorithmic Learning Theory影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0152983<br><br>        <br><br>书目名称Algorithmic Learning Theory影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0152983<br><br>        <br><br>书目名称Algorithmic Learning Theory网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0152983<br><br>        <br><br>书目名称Algorithmic Learning Theory网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0152983<br><br>        <br><br>书目名称Algorithmic Learning Theory被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0152983<br><br>        <br><br>书目名称Algorithmic Learning Theory被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0152983<br><br>        <br><br>书目名称Algorithmic Learning Theory年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0152983<br><br>        <br><br>书目名称Algorithmic Learning Theory年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0152983<br><br>        <br><br>书目名称Algorithmic Learning Theory读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0152983<br><br>        <br><br>书目名称Algorithmic Learning Theory读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0152983<br><br>        <br><br>

安装 发表于 2025-3-21 21:40:17

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苦涩 发表于 2025-3-22 02:40:53

e-Science and the Semantic Web: A Symbiotic Relationshipfrastructure that enables this . Scientific progress increasingly depends on pooling know-how and results; making connections between ideas, people, and data; and finding and reusing knowledge and resources generated by others in perhaps unintended ways. It is about harvesting and harnessing the

Definitive 发表于 2025-3-22 05:49:34

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floaters 发表于 2025-3-22 10:43:00

Data-Driven Discovery Using Probabilistic Hidden Variable Modelsative approach include (a) representing complex stochastic phenomena using the structured language of graphical models, (b) using latent (hidden) variables to make inferences about unobserved phenomena, and (c) leveraging Bayesian ideas for learning and prediction. This talk will begin with a brief

Hla461 发表于 2025-3-22 13:06:00

Reinforcement Learning and Apprenticeship Learning for Robotic Controlrn reinforcement learning algorithms. Some of the reasons for these problems being challenging are (i) It can be hard to write down, in closed form, a formal specification of the control task (for example, what is the cost function for “driving well”?), (ii) It is often difficult to learn a good mod

MAG 发表于 2025-3-22 17:34:03

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搜集 发表于 2025-3-22 21:23:36

On Exact Learning Halfspaces with Random Consistent Hypothesis Oracleunterexamples received from the equivalence query oracle. We use the RCH oracle to give a new polynomial time algorithm for exact learning halfspaces from majority of halfspaces and show that its query complexity is less (by some constant factor) than the best known algorithm that learns halfspaces

maudtin 发表于 2025-3-23 04:39:24

Active Learning in the Non-realizable Caseet function that perfectly classifies all training and test examples. This assumption can hardly ever be justified in practice. In this paper, we study how relaxing the realizability assumption affects the sample complexity of active learning. First, we extend existing results on query learning to s

Factorable 发表于 2025-3-23 08:33:41

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查看完整版本: Titlebook: Algorithmic Learning Theory; 17th International C José L. Balcázar,Philip M. Long,Frank Stephan Conference proceedings 2006 Springer-Verlag