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: MICAI 2009: Advances in Artificial Intelligence; 8th Mexican Internat Arturo Hernández Aguirre,Raúl Monroy Borja,Carlos Conference proceed

[復(fù)制鏈接]
31#
發(fā)表于 2025-3-27 00:12:18 | 只看該作者
32#
發(fā)表于 2025-3-27 04:31:11 | 只看該作者
33#
發(fā)表于 2025-3-27 07:50:53 | 只看該作者
34#
發(fā)表于 2025-3-27 10:56:13 | 只看該作者
Intelligent Aircraft Damage Assessment, Trajectory Planning, and Decision-Making under Uncertaintyion performance and adapt system behavior accordingly. This paper presents a hierarchical and decentralized approach for integrated damage assessment and trajectory planning in aircraft with uncertain navigational decision-making. Aircraft navigation can be safely accomplished by properly addressing
35#
發(fā)表于 2025-3-27 15:41:59 | 只看該作者
36#
發(fā)表于 2025-3-27 19:56:52 | 只看該作者
From Semantic Roles to Temporal Information Representationheme has been adopted as standard for temporal information representation by a large number of researchers. There are few TimeML resources for languages other than English whereas there exist semantic roles annotated corpora and automatic labeling tools for several languages. The objective of this p
37#
發(fā)表于 2025-3-27 22:08:48 | 只看該作者
Dependency Language Modeling Using KNN and PLSIible argument as in selectional preferences, as well as using both the verb and argument for predicting another argument. This latter causes a problem of data sparseness that must be solved by different techniques for data smoothing. Based on our results on the K-Nearest Neighbor model (KNN) algorit
38#
發(fā)表于 2025-3-28 04:02:52 | 只看該作者
39#
發(fā)表于 2025-3-28 07:02:37 | 只看該作者
Using Nearest Neighbor Information to Improve Cross-Language Text Classificationguage. In addition to the expected translation issues, CLTC is also complicated by the cultural distance between both languages, which causes that documents belonging to the same category concern very different topics. This paper proposes a re-classification method which purpose is to reduce the err
40#
發(fā)表于 2025-3-28 11:05:52 | 只看該作者
Ranking Refinement via Relevance Feedback in Geographic Information Retrievallevant documents for geographic queries, but they have severe difficulties to generate a pertinent ranking of them. Motivated by these results in this paper we present a novel re-ranking method, which employs information obtained through a relevance feedback process to perform a .. Performed experim
 關(guān)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(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-11 13:46
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
长丰县| 拉孜县| 二连浩特市| 封丘县| 东海县| 奉新县| 九寨沟县| 洛南县| 禄丰县| 高州市| 太康县| 泰和县| 虞城县| 河北省| 韶关市| 黑河市| 玛多县| 二手房| 锡林浩特市| 蒙山县| 印江| 肃宁县| 金川县| 莲花县| 当涂县| 莎车县| 玉树县| 石家庄市| 临颍县| 应用必备| 泸州市| 卢氏县| 策勒县| 陵水| 海城市| 娄底市| 会宁县| 灌南县| 慈溪市| 修武县| 桑植县|