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» Using Bayesian networks to analyze expression data
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BMCBI
2006
211views more  BMCBI 2006»
14 years 12 months ago
Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
Background: Gene expression profiling has become a useful biological resource in recent years, and it plays an important role in a broad range of areas in biology. The raw gene ex...
Xian Wang, Ao Li, Zhaohui Jiang, Huanqing Feng
ICASSP
2009
IEEE
14 years 9 months ago
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
Marie-Jean Meurs, Fabrice Lefevre, Renato de Mori
CVPR
2000
IEEE
16 years 1 months ago
Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks
Design and development of novel human-computer interfaces poses a challenging problem: actions and intentions of users have to be inferred from sequences of noisy and ambiguous mu...
Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, T...
ECTEL
2006
Springer
15 years 3 months ago
Bayesian Student Models Based on Item to Item Knowledge Structures
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Michel Desmarais, Michel Gagnon
GLOBECOM
2006
IEEE
15 years 5 months ago
Packet and Flow Level Performance of Wireless Multihop Data Networks
— We consider wireless multihop data networks with random multi-access mechanisms at the MAC layer. Our aim is to study the performance as perceived by users in a dynamic setting...
Nidhi Hegde, Alexandre Proutiere