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IJCAI
2007
15 years 7 months ago
Graph-Based Semi-Supervised Learning as a Generative Model
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method...
Jingrui He, Jaime G. Carbonell, Yan Liu 0002
CORR
2010
Springer
100views Education» more  CORR 2010»
15 years 5 months ago
Secret Key Generation for a Pairwise Independent Network Model
Abstract— We investigate secret key generation for a “pairwise independent network” model in which every pair of terminals observes correlated sources which are independent o...
Sirin Nitinawarat, Chunxuan Ye, Alexander Barg, Pr...
BICOB
2009
Springer
16 years 28 days ago
A Bayesian Approach to High-Throughput Biological Model Generation
Abstract. With the availability of hundreds and soon-to-be thousands of complete genomes, the construction of genome-scale metabolic models for these organisms has attracted much a...
Xinghua Shi, Rick L. Stevens
176
Voted
ISBI
2009
IEEE
16 years 1 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...
209
Voted
ICASSP
2011
IEEE
14 years 10 months ago
A hierarchical generative model for Generic Audio Document Categorization
In this paper, we call the pattern classification problem that consists in assigning a category label to a long audio signal based on its semantic content as Generic Audio Documen...
Zhi Zeng, Shuwu Zhang