Results 31 to 40 of about 190,474 (279)
H∞ Fault Detection for Linear Discrete Time-Varying Descriptor Systems with Missing Measurements
Discrete Dynamics in Nature and Society, 2015 This paper deals with the problem of H∞ fault detection for a class of linear discrete time-varying descriptor systems with missing measurements, and the missing measurements are described by a Bernoulli random binary switching sequence.
Guangfu Deng, Huihong Zhao
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, 2016 Let $-d$ be a a negative discriminant and let $T$ vary over a set of representatives of the integral equivalence classes of integral binary quadratic forms of discriminant $-d$.
A Earnest +24 more
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Structural change detection in ordinal time series.
PLoS ONE, 2021 Change-point detection in health care data has recently obtained considerable attention due to the increased availability of complex data in real-time. In many applications, the observed data is an ordinal time series.
Fuxiao Li, Mengli Hao, Lijuan Yang
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Better Autologistic Regression
Frontiers in Applied Mathematics and Statistics, 2017 Autologistic regression is an important probability model for dichotomous random variables observed along with covariate information. It has been used in various fields for analyzing binary data possessing spatial or network structure.
Mark A. Wolters
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The Complexity of Rooted Phylogeny Problems [PDF]
Logical Methods in Computer Science, 2011 Several computational problems in phylogenetic reconstruction can be formulated as restrictions of the following general problem: given a formula in conjunctive normal form where the literals are rooted triples, is there a rooted binary tree that ...
Manuel Bodirsky, Jens K Mueller
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Exploration of new chemical materials using black-box optimization with the D-wave quantum annealer
Frontiers in Computer Science, 2023 In materials informatics, searching for chemical materials with desired properties is challenging due to the vastness of the chemical space. Moreover, the high cost of evaluating properties necessitates a search with a few clues.
Mikiya Doi +7 more
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International Journal of Advanced Robotic Systems, 2018 This article studies the inverse kinematics for asymmetric octahedral variable geometry truss manipulator with obstacle avoidance. The inverse kinematics problem is cast as a nonconvex optimization that having quadratic objective function subject to ...
Yanchun Zhao +2 more
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Quantum-Assisted Cluster Analysis on a Quantum Annealing Device
Frontiers in Physics, 2018 We present an algorithm for quantum-assisted cluster analysis that makes use of the topological properties of a D-Wave 2000Q quantum processing unit. Clustering is a form of unsupervised machine learning, where instances are organized into groups whose ...
Florian Neukart +2 more
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Adiabatic quantum linear regression
Scientific Reports, 2021 A major challenge in machine learning is the computational expense of training these models. Model training can be viewed as a form of optimization used to fit a machine learning model to a set of data, which can take up significant amount of time on ...
Prasanna Date, Thomas Potok
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, 2011 We define a group stucture on the primitive integer points (A,B,C) of the algebraic variety Q_0(B,C)=A^n, where Q_0 is the principal binary quadratic form of fundamental discriminant \Delta and n is a fixed integer greater than 1.
Hambleton, Samuel, Lemmermeyer, Franz
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