Results 121 to 130 of about 2,824,860 (307)
A novel approach for the global localization problem
Acta Universitaria, 2012 Este artículo describe una metodología de planificación, localización y mapeo simultáneos enfocada en el problema de localización global, el robot explora el ambiente eficientemente y también considera los requisitos de un algoritmo de localización y ...
Abraham Sánchez +2 more
doaj
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
CPQR-based randomized algorithms for generalized CUR decompositions
, 2023 Based on the column pivoted QR decomposition, we propose some randomized algorithms including pass-efficient ones for the generalized CUR decompositions of matrix pair and matrix triplet.
Zhang, Guihua, Wei, Yimin, Li, Hanyu
core
Approximate Kernel-Based Conditional Independence Tests for Fast Non-Parametric Causal Discovery
Journal of Causal Inference, 2019 Constraint-based causal discovery (CCD) algorithms require fast and accurate conditional independence (CI) testing. The Kernel Conditional Independence Test (KCIT) is currently one of the most popular CI tests in the non-parametric setting, but many ...
Strobl Eric V. +2 more
doaj +1 more source
A Proposed Model to Allow Data Mining Classification Avoiding Privacy Concerns [PDF]
Journal of the ACS Advances in Computer Science, 2007 Data Mining aims to discover hidden facts that exist in the databases and data warehouses. The discovered data should not reveal secrets that are considered private for individuals or groups.
doaj +1 more source
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
Algorithmic randomness and measures of complexity
Bulletin of Symbolic Logic, 2013 AbstractWe survey recent advances on the interface between computability theory and algorithmic randomness, with special attention on measures of relative complexity. We focus on (weak) reducibilities that measure (a) the initial segment complexity of reals and (b) the power of reals to compress strings, when they are used as oracles.
openaire +3 more sources
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
, 1994 Introduction We have already seen some uses of randomization in the design of on-line algorithms. In these notes, we shall describe other important illustrations of randomized algorithms in other areas of the theory of algorithms.
Michel X. Goemans, Lecturer Michel
core
Efficient Implementation of Randomized Quantum Algorithms With Dynamic Circuits
IEEE Transactions on Quantum EngineeringRandomized algorithms are crucial subroutines in quantum computing, but the requirement to execute many types of circuits on a real quantum device has been challenging to their extensive implementation.
Shu Kanno +4 more
doaj +1 more source