Results 81 to 90 of about 330,705 (346)
Silicon Photonics towards Disaggregation of Resources in Data Centers
Applied Sciences, 2018 In this paper, we demonstrate two subsystems based on Silicon Photonics, towards meeting the network requirements imposed by disaggregation of resources in Data Centers.
Miltiadis Moralis-Pegios +3 more
doaj +1 more source
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text [PDF]
arXiv, 2019 Multilingual writers and speakers often alternate between two languages in a single discourse, a practice called "code-switching". Existing sentiment detection methods are usually trained on sentiment-labeled monolingual text. Manually labeled code-switched text, especially involving minority languages, is extremely rare.
arxiv
Improving Label Assignments Learning by Dynamic Sample Dropout Combined with Layer-wise Optimization in Speech Separation [PDF]
arXiv, 2023 In supervised speech separation, permutation invariant training (PIT) is widely used to handle label ambiguity by selecting the best permutation to update the model. Despite its success, previous studies showed that PIT is plagued by excessive label assignment switching in adjacent epochs, impeding the model to learn better label assignments.
arxiv
Switching class labels to generate classification ensembles [PDF]
Pattern Recognition, 2005 This is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document.
Martínez Muñoz, Gonzalo +1 more
openaire +3 more sources
Relabelling Algorithms for Large Dataset Mixture Models [PDF]
, 2014 Mixture models are flexible tools in density estimation and classification problems. Bayesian estimation of such models typically relies on sampling from the posterior distribution using Markov chain Monte Carlo.
Fan, Yanan, Zhu, Wanchuang
core
Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer
Molecular Oncology, EarlyView.mFast‐SeqS‐based genome‐wide aneuploidy scores are concordant with aneuploidy scores obtained by whole genome sequencing from tumor tissue and can predict response to ARSI treatment at baseline and, at an early time point, to ARSI and taxanes. This assay can be easily performed at low cost and requires little input of cfDNA. Cell‐free circulating tumor
Khrystany T. Isebia +17 more
wiley +1 more source
Two‐mode multiplexed Fourier‐based labels
Electronics LettersA two‐mode optical packet switching architecture using an optical multiport mode‐division multiplexing label generator and processor is proposed. By combining optical labels on two modes, the number of labels is increased exponentially.
Takahiro Kodama, Gabriella Cincotti
doaj +1 more source
ACR Open Rheumatology, 2020 Objective This post hoc analysis evaluated the safety and efficacy of open‐label sarilumab in patients with rheumatoid arthritis (RA) who completed the phase III double‐blind ASCERTAIN study (NCT01768572) and switched from intravenous (IV) tocilizumab to
Paul Emery +5 more
doaj +1 more source
Crowdsourcing Universal Part-Of-Speech Tags for Code-Switching [PDF]
arXiv, 2017 Code-switching is the phenomenon by which bilingual speakers switch between multiple languages during communication. The importance of developing language technologies for codeswitching data is immense, given the large populations that routinely code-switch. High-quality linguistic annotations are extremely valuable for any NLP task, and performance is
arxiv
Label propagation on binomial random graphs [PDF]
arXiv, 2023 We study the behavior of a label propagation algorithm (LPA) on the Erd\H{o}s-R\'enyi random graph $\mathcal{G}(n,p)$. Initially, given a network, each vertex starts with a random label in the interval $[0,1]$. Then, in each round of LPA, every vertex switches its label to the majority label in its neighborhood (including its own label).
arxiv