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JMLR
2008
230views more  JMLR 2008»
15 years 3 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
JMLR
2008
127views more  JMLR 2008»
15 years 3 months ago
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
The use of computational models is increasingly expected to play an important role in predicting the behaviour of biological systems. Models are being sought at different scales o...
Ashwin Srinivasan, Ross D. King
CSI
2007
89views more  CSI 2007»
15 years 3 months ago
Writing and executing ODP computational viewpoint specifications using Maude
The Reference Model of Open Distributed Processing (RM-ODP) is a joint standardization effort by ITU-T and ISO/IEC for the specification of large open distributed systems. RM-ODP ...
José Raúl Romero, Antonio Vallecillo...
CSJM
2007
150views more  CSJM 2007»
15 years 3 months ago
An approach for NL text interpretation
For modeling the interpretation process of NL sentences we use the mechanisms implying semantic networks that assure syntactic – semantic text interpretation (SSI), including an...
Anatol Popescu, Sergiu Cretu
JBI
2006
140views Bioinformatics» more  JBI 2006»
15 years 3 months ago
Chester: Towards a personal medication advisor
Dialogue systems for health communication hold out the promise of providing intelligent assistance to patients through natural interfaces that require no training to use. But in o...
James F. Allen, George Ferguson, Nate Blaylock, Do...
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