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» Intelligent Selection of Language Model Training Data
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136
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BMCBI
2006
116views more  BMCBI 2006»
15 years 4 months ago
Optimized mixed Markov models for motif identification
Background: Identifying functional elements, such as transcriptional factor binding sites, is a fundamental step in reconstructing gene regulatory networks and remains a challengi...
Weichun Huang, David M. Umbach, Uwe Ohler, Leping ...
ESWA
2008
169views more  ESWA 2008»
15 years 3 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
ICC
2009
IEEE
123views Communications» more  ICC 2009»
15 years 10 months ago
Combining Hidden Markov Models for Improved Anomaly Detection
—In host-based intrusion detection systems (HIDS), anomaly detection involves monitoring for significant deviations from normal system behavior. Hidden Markov Models (HMMs) have...
Wael Khreich, Eric Granger, Robert Sabourin, Ali M...
WWW
2008
ACM
16 years 4 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
140
Voted
AIIA
2005
Springer
15 years 6 months ago
Building a Wide Coverage Dynamic Grammar
Incremental processing is relevant for language modeling, speech recognition and language generation. In this paper we devise a dynamic version of Tree Adjoining Grammar (DVTAG) th...
Alessandro Mazzei, Vincenzo Lombardo