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» Dynamically inferring temporal properties
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ICML
2009
IEEE
14 years 5 months ago
Learning linear dynamical systems without sequence information
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
Tzu-Kuo Huang, Jeff Schneider
BMCBI
2010
129views more  BMCBI 2010»
13 years 10 months ago
A temporal precedence based clustering method for gene expression microarray data
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
Ritesh Krishna, Chang-Tsun Li, Vicky Buchanan-Woll...
FUIN
2008
177views more  FUIN 2008»
13 years 10 months ago
A Multi-facet Approach to Dynamic Agent Systems
We are concerned with the problem of defining a complex, hybrid, agent based discrete system in a modular way. The modularity results from looking at the system from a number of di...
Marek A. Bednarczyk, Wieslaw Pawlowski, Luca Berna...
NECO
2007
68views more  NECO 2007»
13 years 10 months ago
Single Neuron Computation: From Dynamical System to Feature Detector
ll Text][Abstract] , October 18, 2006; 26 (42): 10826-10846.J. Neurosci. B. R. Conway and M. S. Livingstone Spatial and temporal properties of cone signals in alert macaque primary...
Sungho Hong, Blaise Agüera y Arcas, Adrienne ...
SPIN
2001
Springer
14 years 2 months ago
From Model Checking to a Temporal Proof
ions Using SPIN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Marsha Chechik, Benet Devereux, Arie Gurfinkel (University of Toronto) Imp...
Doron Peled, Lenore D. Zuck