Results 51 to 60 of about 510,572 (297)
Convex multi-task feature learning [PDF]
Machine Learning, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Argyriou, Andreas +2 more
openaire +2 more sources
Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing
FEBS Letters, EarlyView.Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley +1 more source
Deep Cross-Corpus Speech Emotion Recognition: Recent Advances and Perspectives
Frontiers in Neurorobotics, 2021 Automatic speech emotion recognition (SER) is a challenging component of human-computer interaction (HCI). Existing literatures mainly focus on evaluating the SER performance by means of training and testing on a single corpus with a single language ...
Shiqing Zhang +4 more
doaj +1 more source
XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers [PDF]
, 2022 Xianbin Song +6 more
openalex +1 more source
, 2016 The ability of the Generative Adversarial Networks (GANs) framework to learn generative models mapping from simple latent distributions to arbitrarily complex data distributions has been demonstrated empirically, with compelling results showing that the latent space of such generators captures semantic variation in the data distribution.
Donahue, Jeff +2 more
openaire +2 more sources
Robust multi-task feature learning [PDF]
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, 2012 Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning algorithms have received increasing attention and they have been successfully applied to many applications involving high-dimensional data.
Pinghua, Gong +2 more
openaire +2 more sources
Liquid biopsy epigenetics: establishing a molecular profile based on cell‐free DNA
Molecular Oncology, EarlyView.Cell‐free DNA (cfDNA) fragments in plasma from cancer patients carry epigenetic signatures reflecting their cells of origin. These epigenetic features include DNA methylation, nucleosome modifications, and variations in fragmentation. This review describes the biological properties of each feature and explores optimal strategies for harnessing cfDNA ...
Christoffer Trier Maansson +2 more
wiley +1 more source
Research on Deep Learning Method and Optimization of Vibration Characteristics of Rotating Equipment
Sensors, 2022 CNN extracts the signal characteristics layer by layer through the local perception of convolution kernel, but the rotation speed and sampling frequency of the vibration signal of rotating equipment are not the same.
Xiaoxun Zhu +4 more
doaj +1 more source
Molecular Oncology, EarlyView.Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz +15 more
wiley +1 more source
Feature Learning for SAR Target Recognition with Unknown Classes by Using CVAE-GAN
Remote Sensing, 2021 Even though deep learning (DL) has achieved excellent results on some public data sets for synthetic aperture radar (SAR) automatic target recognition(ATR), several problems exist at present.
Xiaowei Hu +3 more
doaj +1 more source