✦ LIBER ✦

Matrix Kernels for Measures on Partitions

✍ Scribed by Eugene Strahov

Book ID: 106431442
Publisher: Springer
Year: 2008
Tongue: English
Weight: 507 KB
Volume: 133
Category: Article
ISSN: 0022-4715
DOI: 10.1007/s10955-008-9641-9

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

The z-measures on partitions, Pfaffian p

The z-measures on partitions, Pfaffian point processes, and the matrix hypergeometric kernel

✍ Eugene Strahov 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 354 KB

A note on path kernels and partitions

✍ Wenjie He; Baoli Wang 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 200 KB

Matrix models for random partitions

✍ A. Alexandrov 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 308 KB

An efficient kernel matrix evaluation me

An efficient kernel matrix evaluation measure

✍ Canh Hao Nguyen; Tu Bao Ho 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 287 KB

We study the problem of evaluating the goodness of a kernel matrix for a classification task. As kernel matrix evaluation is usually used in other expensive procedures like feature and model selections, the goodness measure must be calculated efficiently. Most previous approaches are not efficient e

Separating Partitions for a Finite Famil

Separating Partitions for a Finite Family of Measures

✍ Vishik, S. M.; Kobrinskii, A. A.; Rosental’, A. L. 📂 Article 📅 1964 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 274 KB

Moderate deviations of -error of empiric

Moderate deviations of -error of empirical measures on partitions

✍ Yu Miao; Guangyu Yang 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 364 KB

## a b s t r a c t In this work, we establish a moderate deviation principle for the L 1 -error of empirical measures on partitions. As an application, the moderate deviation principle for the L 1 -error of the histogram density estimator is also obtained.