779 research outputs found
Approximate Dual Averaging Method for Multiagent Saddle-Point Problems with Stochastic Subgradients
This paper considers the problem of solving the saddle-point problem over a network, which consists of multiple interacting agents. The global objective function of the problem is a combination of local convex-concave functions, each of which is only available to one agent. Our main focus is on the case where the projection steps are calculated approximately and the subgradients are corrupted by some stochastic noises. We propose an approximate version of the standard dual averaging method and show that the standard convergence rate is preserved, provided that the projection errors decrease at some appropriate rate and the noises are zero-mean and have bounded variance
TEACHING REFORM AND INNOVATION OF POLLUTION ECOLOGICAL REMEDIATION TECHNOLOGY IN FORESTRY COLLEGES AND UNIVERSITIES FROM THE PERSPECTIVE OF EDUCATIONAL PSYCHOLOGY
Improved Dynamic Regret of Distributed Online Multiple Frank-Wolfe Convex Optimization
In this paper, we consider a distributed online convex optimization problem
over a time-varying multi-agent network. The goal of this network is to
minimize a global loss function through local computation and communication
with neighbors. To effectively handle the optimization problem with a
high-dimensional and structural constraint set, we develop a distributed online
multiple Frank-Wolfe algorithm to avoid the expensive computational cost of
projection operation. The dynamic regret bounds are established as
with the linear oracle number , which depends on the horizon (total iteration number) , the
function variation , and the tuning parameter . In particular,
when the prior knowledge of and is available, the bound can be
enhanced to . Moreover, we illustrate the significant
advantages of the multiple iteration technique and reveal a trade-off between
dynamic regret bound, computational cost, and communication cost. Finally, the
performance of our algorithm is verified and compared through the distributed
online ridge regression problems with two constraint sets
Crosstalk Impacts on Homogeneous Weakly-Coupled Multicore Fiber Based IM/DD System
We numerically discussed crosstalk impacts on homogeneous weakly-coupled
multicore fiber based intensity modulation/direct-detection (IM/DD) systems
taking into account mean crosstalk power fluctuation, walk-off between cores,
laser frequency offset, and laser linewidth.Comment: 3 pages, 11 figures
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks
Furui first demonstrated that the identity of both consonant and vowel can be
perceived from the C-V transition; later, Stevens proposed that acoustic
landmarks are the primary cues for speech perception, and that steady-state
regions are secondary or supplemental. Acoustic landmarks are perceptually
salient, even in a language one doesn't speak, and it has been demonstrated
that non-speakers of the language can identify features such as the primary
articulator of the landmark. These factors suggest a strategy for developing
language-independent automatic speech recognition: landmarks can potentially be
learned once from a suitably labeled corpus and rapidly applied to many other
languages. This paper proposes enhancing the cross-lingual portability of a
neural network by using landmarks as the secondary task in multi-task learning
(MTL). The network is trained in a well-resourced source language with both
phone and landmark labels (English), then adapted to an under-resourced target
language with only word labels (Iban). Landmark-tasked MTL reduces
source-language phone error rate by 2.9% relative, and reduces target-language
word error rate by 1.9%-5.9% depending on the amount of target-language
training data. These results suggest that landmark-tasked MTL causes the DNN to
learn hidden-node features that are useful for cross-lingual adaptation.Comment: Submitted in Interspeech201
Identification of rat lung-specific microRNAs by micoRNA microarray: valuable discoveries for the facilitation of lung research
BACKGROUND: An important mechanism for gene regulation utilizes small non-coding RNAs called microRNAs (miRNAs). These small RNAs play important roles in tissue development, cell differentiation and proliferation, lipid and fat metabolism, stem cells, exocytosis, diseases and cancers. To date, relatively little is known about functions of miRNAs in the lung except lung cancer. RESULTS: In this study, we utilized a rat miRNA microarray containing 216 miRNA probes, printed in-house, to detect the expression of miRNAs in the rat lung compared to the rat heart, brain, liver, kidney and spleen. Statistical analysis using Significant Analysis of Microarray (SAM) and Tukey Honestly Significant Difference (HSD) revealed 2 miRNAs (miR-195 and miR-200c) expressed specifically in the lung and 9 miRNAs co-expressed in the lung and another organ. 12 selected miRNAs were verified by Northern blot analysis. CONCLUSION: The identified lung-specific miRNAs from this work will facilitate functional studies of miRNAs during normal physiological and pathophysiological processes of the lung
Surgical management of chronic calcific deposit resembling tendon sheath infection in the index finger: A rare case report and literature review
BackgroundCalcific tendonitis rarely occurs in the fingers, and it is easily misdiagnosed. Herein we describe the case of a patient with multiple calcific lesions within the flexor digitorum superficialis and the extensor digitorum tendons of the distal interphalangeal joints of the right index finger, and the surgical treatment of those lesions.Case presentationThe patient was a 66-year-old man who reported pain and swelling in his right index finger for one year. He was diagnosed with chronic calcific tendonitis based on his symptoms and radiology images. He was successfully treated surgically, and histopathological examination confirmed the diagnosis. After one month, the patient had healed well, and there was no recurrence.ConclusionsThis is the first report of a patient suffering from chronic calcific tendonitis in a finger who failed conservative treatment and was successfully treated with surgery. The outcome demonstrates that surgical debridement can yield a good outcome in patients with chronic calcific tendonitis
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