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» A New Method for Dependent Parsing
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ACL
2009
13 years 6 months ago
A Novel Discourse Parser Based on Support Vector Machine Classification
This paper introduces a new algorithm to parse discourse within the framework of Rhetorical Structure Theory (RST). Our method is based on recent advances in the field of statisti...
David duVerle, Helmut Prendinger
ALT
2002
Springer
14 years 6 months ago
Data Mining with Graphical Models
Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
Rudolf Kruse, Christian Borgelt
ICMLC
2005
Springer
14 years 2 months ago
Automatic 3D Motion Synthesis with Time-Striding Hidden Markov Model
In this paper we present a new method, time-striding hidden Markov model (TSHMM), to learn from long-term motion for atomic behaviors and the statistical dependencies among them. T...
Yi Wang, Zhi-Qiang Liu, Li-Zhu Zhou
JMM
2007
107views more  JMM 2007»
13 years 9 months ago
TSFD: Two Stage Frame Dropping for Scalable Video Transmission over Data Networks
Scalable video transmission is used to adjust the rate of video depending on the level of network congestion. Previous studies on scalable video transmission of MPEG over ATM ABR ...
Bing Zheng, Mohammed Atiquzzaman
JOT
2008
136views more  JOT 2008»
13 years 9 months ago
The Stock Statistics Parser
This paper describes how use the HTMLEditorKit to perform web data mining on stock statistics for listed firms. Our focus is on making use of the web to get information about comp...
Douglas Lyon