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PSB
2004
13 years 10 months ago
Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer
Gene expression of a cell is controlled by sophisticated cellular processes. The capability of inferring the states of these cellular processes would provide insight into the mech...
Xinghua Lu, Milos Hauskrecht, Roger S. Day
ALIFE
2008
13 years 8 months ago
Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
Koenraad Van Leemput, Tim Van den Bulcke, Thomas D...
ISNN
2007
Springer
14 years 3 months ago
Extensions of Manifold Learning Algorithms in Kernel Feature Space
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
Yaoliang Yu, Peng Guan, Liming Zhang
ACRI
2004
Springer
14 years 2 months ago
SAT-Based Analysis of Cellular Automata
Abstract. Cellular Automata are a powerful formal model for describing physical and computational processes. Qualitative analysis of Cellular Automata is in general a hard problem....
Massimo D'Antonio, Giorgio Delzanno
FOCS
1990
IEEE
14 years 1 months ago
On the Predictability of Coupled Automata: An Allegory about Chaos
We show a sharp dichotomy between systems of identical automata with a symmetric global control whose behavior is easy to predict, and those whose behavior is hard to predict. The...
Samuel R. Buss, Christos H. Papadimitriou, John N....