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检索条件"机构=Computer Science and Intelligent Systems Program"
214 条 记 录,以下是11-20 订阅
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intelligent Monitoring in a Robotic Assistant for the Elderly  17
Intelligent Monitoring in a Robotic Assistant for the Elderl...
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17th National Conference on Artificial Intelligence, AAA1 2000
作者: Ramakrishnan, Sailesh Pollack, Martha E. Intelligent Systems Program University of Pittsburgh United States Department of Computer Science Intelligent Systems Program University of Pittsburgh United States
来源: 评论
Approximate linear programming for solving hybrid factored MDPs
Approximate linear programming for solving hybrid factored M...
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9th International Symposium on Artificial Intelligence and Mathematics, ISAIM 2006
作者: Hauskrecht, Milos Kveton, Branislav Department of Computer Science Intelligent Systems Program University of Pittsburgh United States
Hybrid approximate linear programming (HALP) has recently emerged as a promising approach to solving large factored Markov decision processes (MDPs) with discrete and continuous state and action variables. Its central... 详细信息
来源: 评论
Parse tree fragmentation of ungrammatical sentences  25
Parse tree fragmentation of ungrammatical sentences
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25th International Joint Conference on Artificial Intelligence, IJCAI 2016
作者: Hashemi, Homa B. Hwa, Rebecca Intelligent Systems Program Computer Science Department University of Pittsburgh United States
Ungrammatical sentences present challenges for statistical parsers because the well-formed trees they produce may not be appropriate for these sentences. We introduce a framework for reviewing the parses of ungrammati... 详细信息
来源: 评论
Learning basis functions in hybrid domains
Learning basis functions in hybrid domains
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21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
作者: Kveton, Branislav Hauskrecht, Milos Intelligent Systems Program University of Pittsburgh Department of Computer Science University of Pittsburgh
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALF). The main idea of the approach is to approximate the ... 详细信息
来源: 评论
MPQA 3.0: An entity/event-level sentiment corpus
MPQA 3.0: An entity/event-level sentiment corpus
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Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015
作者: Deng, Lingjia Wiebe, Janyce Intelligent Systems Program Department of Computer Science University of Pittsburgh United States
This paper presents an annotation scheme for adding entity and event target annotations to the MPQA corpus, a rich span-annotated opinion corpus. The new corpus promises to be a valuable new resource for developing sy... 详细信息
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Solving factored MDPs with exponential-family transition models
Solving factored MDPs with exponential-family transition mod...
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ICAPS 2006 - 16th International Conference on Automated Planning and Scheduling
作者: Kveton, Branislav Hauskrecht, Milos Intelligent Systems Program University of Pittsburgh Department of Computer Science University of Pittsburgh
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALF). The main idea of the approach is to approximate the ... 详细信息
来源: 评论
A note on dimensions and factors
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Artificial Intelligence and Law 2002年 第1-3期10卷 65-77页
作者: Rissland, Edwina L. Ashley, Kevin D. Department of Computer Science University of Massachusetts Amherst MA 01003 United States Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States
In this short note, we discuss several aspects of "dimensions" and the related construct of "factors". We concentrate on those aspects that are relevant to articles in this special issue, especiall... 详细信息
来源: 评论
Learning to Disambiguate Potentially Subjective Expressions  6
Learning to Disambiguate Potentially Subjective Expressions
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6th Conference on Natural Language Learning, CoNLL 2002
作者: Wiebe, Janyce Wilson, Theresa Department of Computer Science and Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States
The goal of this work is recognizing opinionated and evaluative (subjective) language in text. The ability to recognize such language would be beneficial for many NLP applications such as question answering, informati... 详细信息
来源: 评论
A Fairness Analysis of Human and AI-Generated Student Reflection Summaries  5
A Fairness Analysis of Human and AI-Generated Student Reflec...
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5th Workshop on Gender Bias in Natural Language Processing, GeBNLP 2024, held in conjunction with the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024
作者: Baghel, Bhiman Kumar Narayanan, Arun Balajiee Lekshmi Yoder, Michael Miller Department of Computer Science United States Intelligent Systems Program University of Pittsburgh PA United States
This study examines the fairness of human- and AI-generated summaries of student reflections in university STEM classes, focusing on potential gender biases. Using topic modeling, we first identify topics that are mor... 详细信息
来源: 评论
Improving biomedical document retrieval by mining domain knowledge
Improving biomedical document retrieval by mining domain kno...
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22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22
作者: Wang, Shuguang Hauskrecht, Milos Intelligent Systems Program University of Pittsburgh United States Department of Computer Science University of Pittsburgh United States
When research articles introduce new findings or concepts they typically relate them only to knowledge and domain concepts of immediate relevance. However, many domain concepts relevant for the article and its finding... 详细信息
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