神圣在玷污
发表于 2025-3-30 11:48:40
https://doi.org/10.1007/978-3-662-45069-7ost popular team sport in the world, attracts attention of researchers in knowledge discovery and data mining and its related areas. Domain knowledge is mandatory in such applications but acquiring domain knowledge of soccer from experts is a laborious task. Moreover such domain knowledge is typical
chastise
发表于 2025-3-30 13:20:28
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Myosin
发表于 2025-3-30 18:27:29
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Pseudoephedrine
发表于 2025-3-31 00:24:37
Untersuchungen im Modellmaßstabs followed by an event .. Then, by formulating the . and the . of sectorial episodes, in this paper, we design the algorithm . to extract all of the . from a given event sequence by traversing it just once. Finally, by applying the algorithm . to bacterial culture data, we extract sectorial episodes representing ..
低能儿
发表于 2025-3-31 02:18:12
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炸坏
发表于 2025-3-31 05:18:19
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 “col
phytochemicals
发表于 2025-3-31 13:12:47
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
健谈
发表于 2025-3-31 14:49:12
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Antecedent
发表于 2025-3-31 18:02:21
The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methodsfinite number of variables but infinitely many linear constraints. We illustrate that such optimization problems frequently appear in machine learning and discuss several examples including maximum margin boosting, multiple kernel learning and structure learning. In the second part we review methods
Palate
发表于 2025-4-1 00:08:32
Spectral Norm in Learning Theory: Some Selected Topicstrix. Since spectral norms are widely used in various other areas, we are then able to put statistical query complexity in a broader context. We briefly describe some non-trivial connections to (seemingly) different topics in learning theory, complexity theory, and cryptography. A connection to the