Results 31 to 40 of about 234,193 (264)

Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions

, 2016
Kernel mean embeddings have recently attracted the attention of the machine learning community. They map measures $ $ from some set $M$ to functions in a reproducing kernel Hilbert space (RKHS) with kernel $k$. The RKHS distance of two mapped measures is a semi-metric $d_k$ over $M$. We study three questions.
Simon-Gabriel, C., Schölkopf, B.
openaire   +4 more sources

Multiple Kernel k-means with Incomplete Kernels [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Multiple kernel clustering (MKC) algorithms optimally combine a group of pre-specified base kernel matrices to improve clustering performance. However, existing MKC algorithms cannot efficiently address the situation where some rows and columns of base kernel matrices are absent.
Liu, Xinwang, Zhu, Xinzhong, Li, Miaomiao, Wang, Lei, Zhu, En, Liu, Tongliang, Kloft, Marius, Shen, Dinggang, Yin, Jianping, Gao, Wen   +9 more
openaire   +3 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

Bounded and multiperiodic solutions of the system of partial integro-differential equations

Қарағанды университетінің хабаршысы. Математика сериясы, 2019
The system of partial integro - differential equations with an operator of differentiation with respect to directions of vector field is considered. The considering integro - differential equation does not contain space variables.
G.M. Aitenova, Zh.A. Sartabanov, G.A. Abdikalikova , A. Kerimbekov   +3 more
doaj   +1 more source

Study of the low intensity spectral bands within the infrared spectra of kernels of high-yielding maize hybrids [PDF]

Zbornik Matice Srpske za Prirodne Nauke, 2019
The nature, role, and significance of low intensity spectral bands con­tained within the infrared spectra of kernels of high-yielding maize hybrids: ZP 341, ZP 434, and ZP 505 were observed in this study.
Radenović Čedomir N., Maksimov Georgij V., Slatinskaya Olga V., Protopopov Fedor F., Delić Nenad S., Pavlov Jovan M., Popović Aleksandar S., Sečanski Mile D.   +7 more
doaj   +1 more source

Genetic dissection of QTLs for starch content in four maize DH populations

Frontiers in Plant Science, 2022
Starch is the principal carbohydrate source in maize kernels. Understanding the genetic basis of starch content (SC) benefits greatly in improving maize yield and optimizing end-use quality.
Xiaolei Zhang, Min Wang, Changzheng Zhang, Changjun Dai, Haitao Guan, Ruiying Zhang   +5 more
doaj   +1 more source

Kernel‐based clustering

Electronics Letters, 2013
Proposed is a novel clustering technique based on kernel methods. The geometric properties of normalised kernel spaces are exploited to automatically detect the correct number of clusters, thus avoiding the requirement of an initial estimate of this parameter, as required instead in many popular algorithms.
PICIARELLI, Claudio, MICHELONI, Christian, FORESTI, Gian Luca   +2 more
openaire   +2 more sources

Response of Maize Crop to Spatial Arrangement and Staggered Interseeding of Haricot Bean

International Journal of Environment, 2014
Field studies conducted to determine the effects of intercrop row arrangements and staggered intercropping of haricot bean (Phaseolus vulgaris L.) on the performances of maize (Zea mays L.) crop at Hallaba and Taba areas in 2013 cropping season, southern
Tamiru Hirpa
doaj   +1 more source

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source