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 Kangheng Wu

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Average citations per article27.60
Citation Count138
Publication count5
Publication years2005-2007
Available for download2
Average downloads per article1,214.00
Downloads (cumulative)2,428
Downloads (12 Months)61
Downloads (6 Weeks)8
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June 2007 The Knowledge Engineering Review: Volume 22 Issue 2, June 2007
Publisher: Cambridge University Press
Citation Count: 8

We present an action model learning system known as ARMS (Action-Relation Modelling System) for automatically discovering action models from a set of successfully observed plans. Current artificial intelligence (AI) planners show impressive performance in many real world and artificial domains, but they all require the definition of an action model. ...

February 2007 Artificial Intelligence: Volume 171 Issue 2-3, February, 2007
Publisher: Elsevier Science Publishers Ltd.
Citation Count: 31

AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as input. However, building action models from scratch is a difficult and time-consuming task, even for experts. In this paper, we develop an algorithm called ...
Keywords: Automated planning, Learning action models, Statistical relational learning

3 published by ACM
July 2006 ACM Transactions on Information Systems (TOIS): Volume 24 Issue 3, July 2006
Publisher: ACM
Citation Count: 43
Downloads (6 Weeks): 6,   Downloads (12 Months): 44,   Downloads (Overall): 1,849

Full text available: PDFPDF
Web-search queries are typically short and ambiguous. To classify these queries into certain target categories is a difficult but important problem. In this article, we present a new technique called query enrichment, which takes a short query and maps it to intermediate objects. Based on the collected intermediate objects, the ...
Keywords: KDDCUP2005, synonym-based classifier, Query classification, ensemble learning, query enrichment

4 published by ACM
December 2005 ACM SIGKDD Explorations Newsletter: Volume 7 Issue 2, December 2005
Publisher: ACM
Citation Count: 52
Downloads (6 Weeks): 2,   Downloads (12 Months): 17,   Downloads (Overall): 579

Full text available: PDFPDF
In this paper, we describe our ensemble-search based approach, Q 2 C @ UST ( ), for the query classification task for the KDDCUP 2005. There are two aspects to the key difficulties of this problem: one is that the meaning of the queries and the semantics of the ...
Keywords: query classification, synonym-based classifier, ensemble learning, KDDCUP 2005

June 2005 ICAPS'05: Proceedings of the Fifteenth International Conference on International Conference on Automated Planning and Scheduling
Publisher: AAAI Press
Citation Count: 0

AI planning requires the definition of an action model using a language such as PDDL as input. However, building an action model from scratch is a difficult and time-consuming task even for experts. In this paper, we develop an algorithm called ARMS for automatically discovering action models from a set ...

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