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Kernel methods play a critical role in many machine learning algorithms. They are useful in manifold learning, classification, clustering and other data analysis tasks. Setting the kernel's scale parameter, also referred to as the kernel's…

机器学习 · 计算机科学 2019-06-06 Ofir Lindenbaum , Moshe Salhov , Arie Yeredor , Amir Averbuch

Rank-width is a width parameter of graphs describing whether it is possible to decompose a graph into a tree-like structure by `simple' cuts. This survey aims to summarize known algorithmic and structural results on rank-width of graphs.

组合数学 · 数学 2018-05-16 Sang-il Oum

While recent work has established divergence as a key framework for understanding evenness, there is currently no research exploring how the families of measures within the divergence-based framework relate to each other. This paper uses…

种群与进化 · 定量生物学 2021-08-03 Kawika Pierson

Ranked data arise in many areas of application ranging from the ranking of up-regulated genes for cancer to the ranking of academic statistics journals. Complications can arise when rankers do not report a full ranking of all entities; for…

统计方法学 · 统计学 2018-10-26 Stephen R. Johnson , Daniel A. Henderson , Richard J. Boys

To retrieve the best results in a database we use Top-K queries and Skyline queries but some problems arise. The formers rely too much on user preferences, which are difficult to quantify and may skew the fetching of the data, while the…

数据库 · 计算机科学 2022-02-15 Sergio Cuzzucoli

This chapter is dedicated to recent developments in the field of wavelet analysis for scattered data. We introduce the concept of samplets, which are signed measures of wavelet type and may be defined on sets of arbitrarily distributed data…

数值分析 · 数学 2025-03-25 Helmut Harbrecht , Michael Multerer

We study the following problem: preprocess a set O of objects into a data structure that allows us to efficiently report all pairs of objects from O that intersect inside an axis-aligned query range Q. We present data structures of size…

数据结构与算法 · 计算机科学 2015-02-24 Mark de Berg , Joachim Gudmundsson , Ali D. Mehrabi

Quantum kernels are considered as potential resources to illustrate benefits of quantum computing in machine learning. Considering the impact of hyperparameters on the performance of a classical machine learning model, it is imperative to…

量子物理 · 物理学 2023-08-09 Diksha Sharma , Parvinder Singh , Atul Kumar

Given an array $a[1..n]$, the Range Minimum Query (RMQ) problem is to maintain a data structure that supports RMQ queries: given a range $[l, r]$, find the index of the minimum element among $a[l..r]$, i.e., $\operatorname{argmin}_{i \in…

量子物理 · 物理学 2026-01-23 Qisheng Wang , Zhean Xu , Zhicheng Zhang

In this article, we investigate the application of wavelet packet transform as a novel spectrum sensing approach. The main attraction for wavelet packets is the tradeoffs they offer in terms of satisfying various performance metrics such as…

信息论 · 计算机科学 2013-04-16 Dyonisius Dony Ariananda , Madan Kumar Lakshmanan , Homayoun Nikookar

We consider the quantization of a transmit beamforming vector in multiantenna channels and of a signature vector in code division multiple access (CDMA) systems. Assuming perfect channel knowledge, the receiver selects for a transmitter the…

信息论 · 计算机科学 2015-10-16 Wiroonsak Santipach , Kritsada Mamat

Trees can accelerate queries that search or aggregate values over large collections. They achieve this by storing metadata that enables quick pruning (or inclusion) of subtrees when predicates on that metadata can prove that none (or all)…

A mode of a multiset $S$ is an element $a \in S$ of maximum multiplicity; that is, $a$ occurs at least as frequently as any other element in $S$. Given a list $A[1:n]$ of $n$ items, we consider the problem of constructing a data structure…

数据结构与算法 · 计算机科学 2011-01-24 Stephane Durocher , Jason Morrison

Wavelets are a useful basis for constructing solutions of the integral and differential equations of scattering theory. Wavelet bases efficiently represent functions with smooth structures on different scales, and the matrix representation…

核理论 · 物理学 2007-05-23 B. M. Kessler , G. L. Payne , W. N. Polyzou

This paper presents a Kernel Entity Salience Model (KESM) that improves text understanding and retrieval by better estimating entity salience (importance) in documents. KESM represents entities by knowledge enriched distributed…

信息检索 · 计算机科学 2018-05-04 Chenyan Xiong , Zhengzhong Liu , Jamie Callan , Tie-Yan Liu

This review paper is intended to give a useful guide for those who want to apply discrete wavelets in their practice. The notion of wavelets and their use in practical computing and various applications are briefly described, but rigorous…

高能物理 - 唯象学 · 物理学 2025-10-20 I. M. Dremin , O. V. Ivanov , V. A. Nechitailo

Latent tree analysis seeks to model the correlations among a set of random variables using a tree of latent variables. It was proposed as an improvement to latent class analysis --- a method widely used in social sciences and medicine to…

机器学习 · 计算机科学 2016-10-04 Nevin L. Zhang , Leonard K. M. Poon

We consider the problem of maintaining a dynamic set of integers and answering queries of the form: report a point (equivalently, all points) in a given interval. Range searching is a natural and fundamental variant of integer search, and…

数据结构与算法 · 计算机科学 2007-05-23 Christian Worm Mortensen , Rasmus Pagh , Mihai Patrascu

We associate a half-integer number, called {\em the quantum index}, to algebraic curves in the real plane satisfying to certain conditions. The area encompassed by the logarithmic image of such curves is equal to $\pi^2$ times the quantum…

代数几何 · 数学 2017-10-06 Grigory Mikhalkin

In ranking problems, the goal is to learn a ranking function from labeled pairs of input points. In this paper, we consider the related comparison problem, where the label indicates which element of the pair is better, or if there is no…

机器学习 · 统计学 2020-07-27 David Venuto , Toby Dylan Hocking , Lakjaree Sphanurattana , Masashi Sugiyama