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Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic inference. For many entities encountered in real-world applications, however, there are complex relations between them. In this p ...
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;artificial intelligence
AI problems are characterized by high degrees of complexity and uncertainty. Complexity is well handled by first-order logic, and uncertainty by probability. Combining the two in one language would be highly desirable, and the last decade has seen rapid progress in this direction. Many probabilistic ...
Leto: 2011 Vir: videolectures.net
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Oznake: computer science;machine learning;statistical learning
We introduce the problem of learning the parameters of the probabilistic database ProbLog. Given the observed success probabilities of a set of queries, we compute the probabilities attached to facts that have a low approximation error on the training examples as well as on unseen examples. Assuming ...
Leto: 2008 Vir: videolectures.net
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Oznake: computer science;machine learning;data mining
Low-rank approximations of data matrices have become an important tool in machine learning and data mining. They allow for embedding high dimensional data in lower dimensional spaces and can therefore mitigate effects due to noise, uncover latent relations, or facilitate further processing. These pr ...
Leto: 2011 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 5
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