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AAAI
1998
15 years 7 months ago
Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis
Our argumentation system, NAG, uses Bayesian networks in a user model and in a normative model to assemble and assess arguments which balance persuasiveness with normative correct...
Ingrid Zukerman, Richard McConachy, Kevin B. Korb
MCS
2009
Springer
16 years 1 months ago
A Study of Semi-supervised Generative Ensembles
Machine Learning can be divided into two schools of thought: generative model learning and discriminative model learning. While the MCS community has been focused mainly on the lat...
Manuela Zanda, Gavin Brown
KDD
2004
ACM
127views Data Mining» more  KDD 2004»
16 years 6 months ago
A generative probabilistic approach to visualizing sets of symbolic sequences
There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
Peter Tiño, Ata Kabán, Yi Sun
ENTCS
2008
135views more  ENTCS 2008»
15 years 6 months ago
Formal Specification Generation from Requirement Documents
Automatic generation of formal specifications from requirement reduces cost and complexity of formal models creation. Thus, the generated formal model brings the possibility to ca...
Gustavo Cabral, Augusto Sampaio
IICS
2009
Springer
16 years 1 months ago
Contributing and Socialization - Biaxial Segmentation for Users Generating Content
: User generated content is a valuable resource voluntarily provided by a growing number of users. As online and traditional businesses increasingly harness this resource the need ...
Hendrik Send, Daniel Michelis