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
江油市| 教育| 丰城市| 金堂县| 奎屯市| 永定县| 麻江县| 唐山市| 广西| 婺源县| 龙海市| 凤城市| 射阳县| 开远市| 安宁市| 平谷区| 泰安市| 宁波市| 固始县| 大港区| 嫩江县| 武冈市| 旬阳县| 石屏县| 柳林县| 观塘区| 克东县| 方山县| 晴隆县| 曲周县| 洮南市| 内丘县| 和田市| 炎陵县| 正宁县| 临汾市| 潜江市| 兴业县| 泸州市| 洪江市| 贡觉县|