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检索条件"机构=Computer Science and Intelligent Systems Program"
214 条 记 录,以下是51-60 订阅
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Improving biomedical document retrieval using domain knowledge
Improving biomedical document retrieval using domain knowled...
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31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM SIGIR 2008
作者: Shuguang, Wang Hauskrecht, Milos Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States Department of Computer Science University of Pittsburgh Pittsburgh PA 15260 United States
When research articles introduce new results or findings they typically relate them only to knowledge entities of immediate relevance. However, a large body of context knowledge related to the results is often not exp... 详细信息
来源: 评论
Annotating opinions in the World press  4
Annotating opinions in the World press
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4th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2003 Workshop
作者: Wilson, Theresa Wiebe, Janyce Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States Department of Computer Science University of Pittsburgh PittsburghPA15260 United States
In this paper we present a detailed scheme for annotating expressions of opinions, beliefs, emotions, sentiment and speculation (private states) in the news and other discourse. We explore inter-annotator agreement fo...
来源: 评论
An Approach to Formation Control of UAVs Based on Applying Adapted Kohonen Neural Network
An Approach to Formation Control of UAVs Based on Applying A...
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2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2023
作者: Khachumov, Mikhail Ailamazyan Program Systems Institute of Ras Intelligent Control Laboratory Pereslavl-Zalessky Russia Federal Research Center' Computer Science and Control' of Ras Moscow Russia
The paper gives a statement and considers the solution of an urgent scientific problem of formation control for a group of unmanned aerial vehicles (UAVs) operating in an unstable environment. To construct the referen... 详细信息
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The bregman variational dual-tree framework
The bregman variational dual-tree framework
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29th Conference on Uncertainty in Artificial Intelligence, UAI 2013
作者: Amizadeh, Saeed Thiesson, Bo Hauskrecht, Milos Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15213 United States Department of Computer Science Aalborg University Aalborg Denmark Department of Computer Science University of Pittsburgh Pittsburgh PA 15213 United States
Graph-based methods provide a powerful tool set for many non-parametric frameworks in Machine Learning. In general, the memory and computational complexity of these methods is quadratic in the number of examples in th... 详细信息
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Contingency selection in plan generation
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4th European Conference on Planning, ECP 1997
作者: Onder, Nilufer Pollack, Martha E. Department of Computer Science University of Pittsburgh Pittsburgh PA 15260 United States Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States
A key question in conditional planning is: how many, and which of the possible execution failures should be planned for? One cannot, in general, plan for all the failures that can be anticipated: there are simply too ...
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Discourse level opinion interpretation
Discourse level opinion interpretation
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22nd International Conference on Computational Linguistics, Coling 2008
作者: Somasundaran, Swapna Wiebe, Janyce Ruppenhofer, Josef Dept. of Computer Science University of Pittsburgh Pittsburgh PA 15260 United States Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States
This work proposes opinion frames as a representation of discourse-level associations which arise from related opinion topics. We illustrate how opinion frames help gather more information and also assist disambiguati... 详细信息
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An optimization-based framework to learn conditional random fields for multi-label classification  14
An optimization-based framework to learn conditional random ...
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14th SIAM International Conference on Data Mining, SDM 2014
作者: Naeini, Mahdi Pakdaman Batal, Iyad Liu, Zitao Hong, Charmgil Hauskrecht, Milos Intelligent Systems Program University of Pittsburgh United States General Electric Global Research Center United States Department of Computer Science University of Pittsburgh United States
This paper studies multi-label classification problem in which data instances are associated with multiple, possibly high-dimensional, label vectors. This problem is especially challenging when labels are dependent an... 详细信息
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Nonmonotonic Inheritance and Generic Reflexives  7
Nonmonotonic Inheritance and Generic Reflexives
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7th National Conference on Artificial Intelligence, AAAI 1988
作者: Touretzky, David S. Thomason, Richmond H. Computer Science Department Carnegie Mellon University PittsburghPA15213 United States Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States
Generic reflexive statements such as Elephants love themselves have traditionally been formalized using some variant of predicate logic, with variables to mark coreferentiality. We present a radically different semant... 详细信息
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Detecting arguing and sentiment in meetings
Detecting arguing and sentiment in meetings
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8th SIGdial Workshop on Discourseand Dialogue
作者: Somasundaran, Swapna Ruppenhofer, Josef Wiebe, Janyce Dept. of Computer Science University of Pittsburgh Pittsburgh PA 15260 United States Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States
This paper analyzes opinion categories like Sentiment and Arguing in meetings. We first annotate the categories manually. We then develop genre-specific lexicons using interesting function word combinations for detect...
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Discourse level opinion relations: An annotation study  9
Discourse level opinion relations: An annotation study
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9th SIGdial Workshop on Discourse and Dialogue
作者: Somasundaran, Swapna Ruppenhofer, Josef Wiebe, Janyce Dept. of Computer Science University of Pittsburgh Pittsburgh PA 15260 United States Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States
This work proposes opinion frames as a representation of discourse-level associations that arise from related opinion targets and which are common in task-oriented meeting dialogs. We define the opinion frames and exp...
来源: 评论