Analysis of almost-periodic distributed feedback slab waveguides via a fundamental matrix approach
M Yamada, K Sakuda - Applied optics, 1987 - opg.optica.org
A unified approach to obtain the characteristics of almost-periodic grating slab waveguides
including gain in the waveguide is reported. In this approach the waveguides are divided into …
including gain in the waveguide is reported. In this approach the waveguides are divided into …
Change-point detection in time-series data by relative density-ratio estimation
The objective of change-point detection is to discover abrupt property changes lying behind
time-series data. In this paper, we present a novel statistical change-point detection …
time-series data. In this paper, we present a novel statistical change-point detection …
Graphlime: Local interpretable model explanations for graph neural networks
Recently, graph neural networks (GNN) were shown to be successful in effectively representing
graph structured data because of their good performance and generalization ability. …
graph structured data because of their good performance and generalization ability. …
Gain characteristics of tellurite-based erbium-doped fiber amplifiers for 1.5-µm broadband amplification
The signal-gain characteristics of tellurite-based erbium-doped fiber amplifiers are clarified
based on spectroscopic properties and signal-gain measurements. The potential of tellurite …
based on spectroscopic properties and signal-gain measurements. The potential of tellurite …
High-dimensional feature selection by feature-wise kernelized lasso
The goal of supervised feature selection is to find a subset of input features that are responsible
for predicting output values. The least absolute shrinkage and selection operator (Lasso) …
for predicting output values. The least absolute shrinkage and selection operator (Lasso) …
Transformer dissection: a unified understanding of transformer's attention via the lens of kernel
Transformer is a powerful architecture that achieves superior performance on various
sequence learning tasks, including neural machine translation, language understanding, and …
sequence learning tasks, including neural machine translation, language understanding, and …
[PDF][PDF] Intelligent image-activated cell sorting
A fundamental challenge of biology is to understand the vast heterogeneity of cells, particularly
how cellular composition, structure, and morphology are linked to cellular physiology. …
how cellular composition, structure, and morphology are linked to cellular physiology. …
[HTML][HTML] Addition of docetaxel to oral fluoropyrimidine improves efficacy in patients with stage III gastric cancer: interim analysis of JACCRO GC-07, a randomized …
…, T Yoshikawa, J Matsuyama, M Yamada… - Journal of Clinical …, 2019 - ncbi.nlm.nih.gov
PURPOSE S-1 is a standard postoperative adjuvant chemotherapy for patients with stage II
or III gastric cancer in Asia. Neoadjuvant or perioperative strategies dominate in Western …
or III gastric cancer in Asia. Neoadjuvant or perioperative strategies dominate in Western …
Gain-flattened tellurite-based EDFA with a flat amplification bandwidth of 76 nm
We describe a tellurite-based Er/sup 3+/-doped fiber amplifier (EDFA) with a flat amplification
bandwidth of 76 nm and a noise figure of less than 7 dB. Furthermore, a parallel-type …
bandwidth of 76 nm and a noise figure of less than 7 dB. Furthermore, a parallel-type …
Random features strengthen graph neural networks
Graph neural networks (GNNs) are powerful machine learning models for various graph
learning tasks. Recently, the limitations of the expressive power of various GNN models have …
learning tasks. Recently, the limitations of the expressive power of various GNN models have …