传家宝 发表于 2025-3-21 19:26:47

书目名称KI 2006影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0541635<br><br>        <br><br>书目名称KI 2006影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0541635<br><br>        <br><br>书目名称KI 2006网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0541635<br><br>        <br><br>书目名称KI 2006网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0541635<br><br>        <br><br>书目名称KI 2006被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0541635<br><br>        <br><br>书目名称KI 2006被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0541635<br><br>        <br><br>书目名称KI 2006年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0541635<br><br>        <br><br>书目名称KI 2006年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0541635<br><br>        <br><br>书目名称KI 2006读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0541635<br><br>        <br><br>书目名称KI 2006读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0541635<br><br>        <br><br>

AVID 发表于 2025-3-21 21:25:25

http://reply.papertrans.cn/55/5417/541635/541635_2.png

缝纫 发表于 2025-3-22 03:43:50

http://reply.papertrans.cn/55/5417/541635/541635_3.png

玷污 发表于 2025-3-22 08:28:26

On the Scalability of Description Logic Instance Retrievaltic knowledge. In this paper we present and analyze the main results we have found about how to contribute to this kind of scalability problem. We assume familiarity with description logics in general and tableau provers in particular.

outrage 发表于 2025-3-22 09:54:39

Relation Instantiation for Ontology Population Using the Webate relation instances are then ranked based on co-occurrence with a seed set. In an experiment, we extracted instances of the relation between artists and art styles. The results were manually evaluated against selected art resources.

Protein 发表于 2025-3-22 16:34:59

http://reply.papertrans.cn/55/5417/541635/541635_6.png

Throttle 发表于 2025-3-22 19:45:25

http://reply.papertrans.cn/55/5417/541635/541635_7.png

浅滩 发表于 2025-3-22 23:28:09

Learning an Ensemble of Semantic Parsers for Building Dialog-Based Natural Language Interfaces In this paper, an approach based on ensemble learning is proposed to trivially address the problem of unreliability in an NLI due to imperfect precision in the semantic parser in a way that also allows the recall of the NLI to be improved. Experimental results in two real world domains suggested that such an approach can be promising.

narcotic 发表于 2025-3-23 05:13:40

http://reply.papertrans.cn/55/5417/541635/541635_9.png

instructive 发表于 2025-3-23 06:06:31

Active Monte Carlo Recognitiontively handles object transformations in scale, translation, rotation, affine and non-affine distortion. We describe the general AMCR in detail, introduce a particular implementation, and present illustrative empirical results.
页: [1] 2 3 4 5 6 7
查看完整版本: Titlebook: KI 2006; 29th Annual German C Christian Freksa,Michael Kohlhase,Kerstin Schill Conference proceedings 2007 Springer-Verlag Berlin Heidelber