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26
2019-12
澳大利亚国立大学杜岚博士学术报告
报告题目：Multi-label Learning with/without Zero-shot Classes报告内容：Multi-label learning refers to the problem of learning to assign a subset of relevant labels to each object, drawn from a large set of candidate labels. Each object is thus associated with a binary label vector, which denotes the presence/absence of each of the candidate labels. In real-world application, such as image/do...
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21
2019-12
美国哥伦比亚大学陈博源博士学术报告
报告题目：Machine Theory of Behavior and Mind 报告摘要：We have seen impressive results from Machine Learning that enable machines to recognize objects very accurately, translate between multiple languages, and manipulate various objects with high success rate. However, there is still a gap to build machines that can operate in unconstrained environment. Humans are able to understand the goa...
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20
2019-12
墨尔本大学马兴军助理讲师学术报告
报告题目：Adversarial Machine Learning: an intruduction and tutorial 报告摘要：Deep learning has become increasingly popular in the past few years. This is largely attributed to a family of powerful models called deep neural networks (DNNs). With many stacked layers, and millions of neurons, DNNs are capable of learning complex non-linear mappings, and have demonstrated near or even surpassi...
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20
2019-12
南洋理工大学杨杰龙博士学术报告
报告题目：On Truth Finding in Multi-agent Networks 报告摘要：A problem named “truth finding” will be discussed in this talk. In this problem, an event is a phenomenon of interest and our goal is to infer the states of events (e.g., articles, movies, and signals) through biased observations of multiple agents (e.g., sensors and individuals) in a network. The local bias of each agent is unkn...
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16
2019-12
中国计算机学会上海分部主席白硕教授学术报告
报告题目：Towards Precise Parsing: What and How 报告摘要：自然语言的精准解析是人工智能皇冠上的明珠，也是很多实际应用领域的共同期盼。本 报告结合知识图谱中事件知识处理研究和应用落地的共同需求，介绍报告者在自然语言精准解析领域几十年研究成果——关联语法（what）及其分析技术（how），讨论精准解析与事件知识处理的衔接，并探索这些技术在金融领域的应用前景。 报告人介绍：白硕，金融科技专家，中国计算机...
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10
2019-12
密歇根州立大学李照剑教授学术报告
ZHAOJIAN LIAssistant ProfessorDepartment of Mechanical EngineeringMichigan State University Talk IFuture Mobility: Integrating Data-Driven and Control Methods into Automotive Decision-Making Systems2019年12月16日 星期一9：00 a.m -11:00 a.m 南岭校区先进控制基地A区2楼报告厅ABSTRACT: Data is everywhere. Modern vehicles are equipped with hundreds of sophisticated sensors that offer necessary inf...
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26
2019-11
澳大利亚莫纳什大学赵贺博士学术报告
报告题目：基于元数据主题模型的短文本分析和主题结构挖掘报告摘要：作为一种概率生成模型，主题模型主要应用于离散数据并假设输入数据由若干“潜在因素”生成。在文本分析中，这些“潜在因素”通常包含一些特定的含义，而每一种含义又可以被一组特定的词所解释，所以这些“潜在因素”又可以被称为“主题”。因此，一篇文章里的词频可以视作是由若干不同含义的主题共同生成的，而每种主题在文章中所占的比重也不同。在近二十...
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01
2019-11
清华大学刘世霞博士学术报告
报告题目: 基于可视分析的可解释机器学习报告摘要: 可解释的机器学习旨在使机器学习模型的决策过程对研究人员和从业人员更加透明，从而实现人机的有效沟通和协作。本报告将介绍我们提出的机器学习模型可视分析框架。该框架跳出传统可视分析“先分析再可视化”的单一方向分析机制，将机器学习方法和交互可视化方法有机地结合在一起，从而更好地帮助用户理解复杂模型及其输出结果，分析、诊断并不断完善机器学习模型。为用户...
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28
2019-10
Bernard Mans教授学术报告
报告题目：Information Dissemination in Vehicular Networks in an Urban Hyperfractal Topology主讲人：Bernard Mans讲座时间：2019年10月29日（星期二）10：00-11:30讲座地点：行政楼601会议室报告人简介：Professor Bernard Mans is currently the Executive Dean for the Faculty of Science and Engineering, at Macquarie University in Sydney.In 2014-2017, he was member of the Australian Research Council (ARC)...
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28
2019-10
中科院计算所徐勇军博士学术报告
报告题目：海洋大数据和智能态势感知技术主 讲 人：徐勇军讲座时间：2019年10月30日（星期三）10：00-11:30讲座地点：行政楼601会议室报告人简介：徐勇军，博士、博士生导师、研究员，中科院计算所专项中心主任，受聘为国家财政部、军委科技委、装备发展部专家。专注信号大数据处理、人工智能处理等领域的研究及应用工作。发表学术论文80余篇，申请发明专利30余项、软件登记20余项、编著相关专业书籍3本。负责国家863课题、国家...
