Results 61 to 70 of about 1,581,096 (371)

Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) [PDF]

, 2015
We introduce a new structured kernel interpolation (SKI) framework, which generalises and unifies inducing point methods for scalable Gaussian processes (GPs).
Nickisch, Hannes, Wilson, Andrew Gordon
core   +2 more sources

Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification

, 2018
Multiple kernel learning (MKL) method is generally believed to perform better than single kernel method. However, some empirical studies show that this is not always true: the combination of multiple kernels may even yield an even worse performance than ...
Kang, Zhao, Lu, Xiao, Xu, Zenglin, Yi, Jinfeng   +3 more
core   +1 more source

Detecting rs‐fMRI Networks in Disorders of Consciousness: Improving Clinical Interpretability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Preserved resting‐state functional MRI (rs‐fMRI) networks are typically observed in Disorders of Consciousness (DOC). Despite the widespread use of rs‐fMRI in DOC, a systematic assessment of networks is needed to improve the interpretability of data in clinical practice.
Jean Paul Medina Carrion, Mario Stanziano, Ludovico D'Incerti, Davide Sattin, Stefania Ferraro, Davide Rossi Sebastiano, Francesca Giulia Magnani, Alice Deruti, Davide Fedeli, Ludovico Minati, Francesca Epifani, Marina Grisoli, Matilde Leonardi, Maria Grazia Bruzzone, Anna Nigri, Cristina Rosazza   +15 more
wiley   +1 more source

Reliability of brain metrics derived from a Time-Domain Functional Near-Infrared Spectroscopy System

Scientific Reports
With the growing interest in establishing brain-based biomarkers for precision medicine, there is a need for noninvasive, scalable neuroimaging devices that yield valid and reliable metrics.
Julien Dubois, Ryan M. Field, Sami Jawhar, Erin M. Koch, Zahra M. Aghajan, Naomi Miller, Katherine L. Perdue, Moriah Taylor   +7 more
doaj   +1 more source

Influencing factors for the human development index in West Java using geographically and temporally weighted regression kernel functions

Jurnal Pendidikan Geografi, 2023
Human Development Index (HDI) is a competitive index that serves as one of the crucial metrics for evaluating the effectiveness of enhancing the quality of human resources. HDI values from different areas can be compared. This study aims to spatially and
Anis Dyah Rahmawati, Aji Hamim Wigena, Muhammad Nur Aidi   +2 more
doaj   +1 more source

Operators for transforming kernels into quasi-local kernels that improve SVM accuracy [PDF]

, 2008
Motivated by the crucial role that locality plays in various learning approaches, we present, in the framework of kernel machines for classification, a novel family of operators on kernels able to integrate local information into any kernel obtaining ...
Blanzieri, Enrico, Segata, Nicola
core   +1 more source

Generalized Shortest Path Kernel on Graphs

, 2015
We consider the problem of classifying graphs using graph kernels. We define a new graph kernel, called the generalized shortest path kernel, based on the number and length of shortest paths between nodes.
A Fronczak, B Bollobás, KM Borgwardt, M Liśkiewicz, S Havlin, S Shalev-Shwartz, T Gärtner   +6 more
core   +1 more source

Graph Kernels

, 2008
We present a unified framework to study graph kernels, special cases of which include the random walk graph kernel \citep{GaeFlaWro03,BorOngSchVisetal05}, marginalized graph kernel \citep{KasTsuIno03,KasTsuIno04,MahUedAkuPeretal04}, and geometric kernel on graphs \citep{Gaertner02}.
Vishwanathan, S, Borgwardt, Karsten M., Kondor, Imre Risi, Schraudolph, Nicol   +3 more
openaire   +5 more sources

Windows Based Data Sets for Evaluation of Robustness of Host Based Intrusion Detection Systems (IDS) to Zero-Day and Stealth Attacks

Future Internet, 2016
The Windows Operating System (OS) is the most popular desktop OS in the world, as it has the majority market share of both servers and personal computing necessities. However, as its default signature-based security measures are ineffectual for detecting
Waqas Haider, Gideon Creech, Yi Xie, Jiankun Hu   +3 more
doaj   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source