找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Knowledge Science, Engineering and Management; 14th International C Han Qiu,Cheng Zhang,Sun-Yuan Kung Conference proceedings 2021 Springer

[復制鏈接]
樓主: Espionage
31#
發(fā)表于 2025-3-26 23:26:00 | 只看該作者
An Improved Convolutional Neural Network Based on Noise Layerthe basis of the previous studies has been proposed. This method improves the generalization performance of the CNN model by adding corresponding noise to the feature image obtained after convolution operation. The constructed noise layer can be flexibly embedded in a certain position of the CNN str
32#
發(fā)表于 2025-3-27 03:57:16 | 只看該作者
Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extractionies mainly focus on English event detection, which suffering from error propagation due to the identify-then-classify paradigm. And these methods could not be applied to Chinese event extraction directly, because they suffer from the Chinese word-trigger mismatch problem. In this work, we explore th
33#
發(fā)表于 2025-3-27 07:38:19 | 只看該作者
34#
發(fā)表于 2025-3-27 10:18:16 | 只看該作者
35#
發(fā)表于 2025-3-27 14:23:18 | 只看該作者
Bayesian Belief Network Model Using Sematic Concept for Expert Findingbe poor due to the mechanical text matching. In view of the above shortcomings, we use Bayesian belief network as a model frame, and two expert finding models are proposed. One is a basic semantic belief network retrieval model, in which BERT and LDA models are used, and the other is a compound sema
36#
發(fā)表于 2025-3-27 18:30:38 | 只看該作者
37#
發(fā)表于 2025-3-27 23:24:42 | 只看該作者
The Novel Efficient Transformer for NLPworks on edge devices with limited resources. With the advent of the Transformer model, several quantization techniques have been proposed to reduce the computation and model size. However, these existing quantization techniques use fixed bit-width assignments, which result in a significant degradat
38#
發(fā)表于 2025-3-28 04:16:45 | 只看該作者
39#
發(fā)表于 2025-3-28 09:00:49 | 只看該作者
40#
發(fā)表于 2025-3-28 13:09:55 | 只看該作者
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-10 14:43
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
山丹县| 乐业县| 柳河县| 缙云县| 博乐市| 新邵县| 遵义市| 晋城| 如东县| 綦江县| 花垣县| 黄冈市| 新蔡县| 红桥区| 云龙县| 德州市| 鄂托克前旗| 宝丰县| 新宾| 荥经县| 双流县| 西峡县| 安龙县| 云和县| 隆回县| 信宜市| 武乡县| 赤峰市| 弥勒县| 东海县| 淮安市| 莱阳市| 嵩明县| 雷州市| 廉江市| 衡山县| 乐东| 沙河市| 神农架林区| 林周县| 贡嘎县|