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ICONIP
2004
13 years 9 months ago
Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets
The complexity of gene regulatory network models stems from the fact that the models should be able to represent continuous, discrete as well as stochastic aspects of gene regulati...
Ranjith Vasireddy, Somenath Biswas
ISLPED
1995
ACM
114views Hardware» more  ISLPED 1995»
13 years 11 months ago
Power and area optimization by reorganizing CMOS complex gate circuits
Thispaper proposes a method for achieving low-power control-logic modules using a combination of CMOS complex gate reorganization, transistor size optimization, and transistor lay...
M. Tachibana, S. Kurosawa, R. Nojima, Norman Kojim...
FLAIRS
2007
13 years 10 months ago
Knowledge Transfer in Deep Convolutional Neural Nets
Knowledge transfer is widely held to be a primary mechanism that enables humans to quickly learn new complex concepts when given only small training sets. In this paper, we apply ...
Steven Gutstein, Olac Fuentes, Eric Freudenthal
ICRA
2003
IEEE
144views Robotics» more  ICRA 2003»
14 years 26 days ago
Error-tolerant execution of complex robot tasks based on skill primitives
— This paper presents a general approach to specify and execute complex robot tasks considering uncertain environments. Robot tasks are defined by a precise definition of socal...
Ulrike Thomas, Bernd Finkemeyer, Torsten Krög...
INFORMS
1998
142views more  INFORMS 1998»
13 years 7 months ago
Distributed State Space Generation of Discrete-State Stochastic Models
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol