博彩公司-真人在线博彩公司大全_百家乐园首选去澳_全讯网赢足一世 (中国)·官方网站

網站頁面已加載完成

由于您當前的瀏覽器版本過低,存在安全隱患。建議您盡快更新,以便獲取更好的體驗。推薦使用最新版Chrome、Firefox、Opera、Edge

Chrome

Firefox

Opera

Edge

ENG

當前位置: 首頁 · 學術交流 · 正文

學術交流

【學術講座】美國喬治梅森大學Paulo C. G. Costa副教授講座通知

發布時間:2017年07月10日 來源: 點擊數:

報告題目:First Order Probabilistic Semantics in High-Level Information Fusion

人:Paulo C. G. Costa, Associate Professor

講座時間:2017年7月12日 上午10:00

講座地點:電子信息學院119會議室

人:張建東

承辦學院:電子信息學院

人:張建東

聯系電話:13630219356

報告簡介:

Research on the subject of information fusion has focused primarily on lower-level data alignment (e.g. multi-sensor data fusion, syntactic protocols, distributed simulation, etc), on semantic mapping solutions (e.g. Semantic Web approaches, specialized semantic mapping solutions, etc), or other topics that do not fully address the fundamentals of high-level knowledge integration. As information flow in many real world applications grows larger and more complex, it becomes clear that advances in connectivity and computation alone are insufficient to address the problem of merging knowledge from heterogeneous sources. The sheer volume of data creates informational and cognitive bottlenecks. Incompatible formats and semantic mismatches necessitate tedious and time-consuming manual processing at various points in the decision cycle. As a result, massive amounts of potentially relevant data remain unexploited, narrow processing stovepipes continue to provide stop-gap solutions, and decision makers’ cognitive resources are too often focused on low-level manual data integration rather than high-level reasoning about the situations to be addressed.

This knowledge gap has been recognized and in spite of recent advances in HLIF research there is still a lack of a theoretical framework to enable HLIF applications. In this presentation, I introduce First-Order Probabilistic Semantics as a candidate for filling this gap, as it addresses the various challenges in merging complex data while properly accounting for the inherent uncertainty that comes from such data. I will present the key concepts of the framework and provide an update on the current status of its development, while showcasing a few examples of how the framework is being applied in diverse application areas.

報告人簡介:

Paulo Cesar G. Costa博士是巴西空軍資深飛行員,2008年退役,現任美國喬治梅森大學系統工程與運籌系副教授,喬治梅森大學C4I中心國際合作副主任,無線電與雷達工程實驗室聯合主任。他的研究興趣包括電子戰、決策支持系統、多傳感器數據融合,概率表示和推理等。Costa教授開發了PR-OWL,是UnBBayes-MEBN的重要貢獻者,Costa教授目前是美國NSF,美國國家工程院等審查委員會成員,IEEE高級會員,當選國際信息融合學會(2016-2018年任期)理事會成員,2015年國際信息融合大會主席,現任ISIF工作組副主席。

网上百家乐官网追杀| 百家乐游戏群号| 威尼斯人娱乐城提款| 大发888娱乐城破解软件| 大发888手机版亚洲城| 乐九百家乐官网游戏| 金城百家乐玩法平台| 精英娱乐城开户| 做生意买车白色风水| 大发888娱乐城维护| 青龙| 百家乐视频双扣下载| 百家乐官网天上人间| 百家乐庄闲统计数| 订做百家乐官网桌子| 做生意适合摆放龙龟吗| 威尼斯人娱乐场棋牌| 百家乐官网娱乐平台开户| 百家乐787| 百家乐官网太阳城真人游戏| 大发888被查封| 百家乐赌博机销售| 多彩国际娱乐| 百家乐对保| 百家乐官网娱乐网真人娱乐网| 棋牌游戏平台排行榜| 百家乐官网筹码防伪| 百家乐官网视频世界| 大发888娱乐城 健账号| 百家乐官网发牌| 拉斯维加斯| 新世百家乐官网的玩法技巧和规则| 十六浦百家乐的玩法技巧和规则 | 百家乐官网路纸下| 威尼斯人娱乐网开户| 属兔魔羯女在哪个方位做生意| 棋牌游戏平台排名| 百家乐投注平台信誉排行| HG百家乐官网大转轮| 正品百家乐官网电话| 百家乐官网庄家赢钱方法|