Adaptive Cluster Expansion for Inferring Boltzmann Machines with Noisy Data

Taking advantage of the availability of other data sets of relevance to the parameter under concern, though different, a method is proposed for the synthesis of the initial

The analysis of query similarity measures and metrics has several facets like the investigation of similarity assessment dimensions, as well as the computation complexity of a

– the ability to manage large amounts of structured and unstructured content, which may be imported and integrated from existing sources, but also may be generated by end users, who

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Thermal deformation of superatoms also modifies the ar- rangement of Lewis base and acid sites, driving some of the surface hydrogen atoms to diffuse around neighbor aluminum sites

In this paper, we compare ELMs with different regularization strategies (no regularization, L1, L2) in context of a binary classification task related to gene expression data.. As

Key Words: Adaptive estimation, deconvolution, nonparametric estimation, infinitely differentiable functions, exact constants in nonparametric smoothing, minimax risk, quantum

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