Results 51 to 60 of about 394,763 (294)
Approximation and Kernelization for Chordal Vertex Deletion [PDF]
ACM-SIAM Symposium on Discrete Algorithms, 2016 The Chordal Vertex Deletion (ChVD) problem asks to delete a minimum number of vertices from an input graph to obtain a chordal graph. In this paper we develop a polynomial kernel for ChVD under the parameterization by the solution size, as well as poly ...
B. Jansen, Marcin Pilipczuk
semanticscholar +1 more source
Progressive Line Processing of Kernel RX Anomaly Detection Algorithm for Hyperspectral Imagery
Sensors, 2017 The Kernel-RX detector (KRXD) has attracted widespread interest in hyperspectral image processing with the utilization of nonlinear information. However, the kernelization of hyperspectral data leads to poor execution efficiency in KRXD.
Chunhui Zhao +3 more
doaj +1 more source
Budgeted Passive-Aggressive Learning for Online Multiclass Classification
IEEE Access, 2020 Online multiclass classification is a specific problem of online learning that performs a sequence of multiclass classification tasks given the knowledge of previous tasks. The goal is to make correct predictions for this sequence.
Chung-Hao Wu +2 more
doaj +1 more source
Molecular Oncology, EarlyView.Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi +14 more
wiley +1 more source
Kernelization for Maximum Leaf Spanning Tree with Positive Vertex Weights
Journal of Graph Algorithms and Applications, 2012 In this paper we consider a natural generalization of the well-known MAX LEAF SPANNING TREE problem. In the generalized WEIGHTED MAX LEAF problem we get as input an undirected connected graph G, a rational number k not smaller than 1 and a weight ...
Bart Jansen
doaj +1 more source
Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone +8 more
wiley +1 more source
Kernelization Lower Bounds for Finding Constant Size Subgraphs [PDF]
Conference on Computability in Europe, 2017 Kernelization is an important tool in parameterized algorithmics. The goal is to reduce the input instance of a parameterized problem in polynomial time to an equivalent instance of the same problem such that the size of the reduced instance only depends
T. Fluschnik +2 more
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe +7 more
wiley +1 more source
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