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CORR
2007
Springer
170views Education» more  CORR 2007»
13 years 8 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...
ACL
2010
13 years 6 months ago
A Structured Model for Joint Learning of Argument Roles and Predicate Senses
In predicate-argument structure analysis, it is important to capture non-local dependencies among arguments and interdependencies between the sense of a predicate and the semantic...
Yotaro Watanabe, Masayuki Asahara, Yuji Matsumoto
IPPS
2006
IEEE
14 years 2 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
HICSS
2002
IEEE
109views Biometrics» more  HICSS 2002»
14 years 1 months ago
Embedding Self-Management and Generic Learning Support into Courseware Structures
Traditional Computer-Aided Teaching and Learning (CAT/CAL) environments in multimedia-based teleeducation do not empower knowledge consumers (trainees, students etc.) to practice ...
Andreas Auinger, Christian Stary
UAI
1997
13 years 9 months ago
A Bayesian Approach to Learning Bayesian Networks with Local Structure
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...