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ACSC
2008
IEEE
14 years 11 months ago
An investigation of the state formation and transition limitations for prediction problems in recurrent neural networks
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Angel Kennedy, Cara MacNish
SPIN
2010
Springer
14 years 7 months ago
Efficient Explicit-State Model Checking on General Purpose Graphics Processors
We accelerate state space exploration for explicit-state model checking by executing complex operations on the graphics processing unit (GPU). In contrast to existing approaches en...
Stefan Edelkamp, Damian Sulewski
TCS
2010
14 years 8 months ago
Alternating states for dual nondeterminism in imperative programming
The refinement calculus of Back, Morgan, Morris, and others is based on monotone predicate transformers (weakest preconditions) where conjunctions stand for demonic choices betwee...
Wim H. Hesselink
ACMSE
2010
ACM
14 years 4 months ago
Steady state visual evoked potentials by dual sine waves
The sum of sine waves was used to evoke Steady State Visual Evoked Potentials (SSVEP). The SSVEP responses were elicited by visual stimuli in the form of a flickering light emitti...
Fei Teng, Aik Min Choong, Scott Gustafson, Dwight ...
BMCBI
2007
159views more  BMCBI 2007»
14 years 9 months ago
Computational genes: a tool for molecular diagnosis and therapy of aberrant mutational phenotype
Background: A finite state machine manipulating information-carrying DNA strands can be used to perform autonomous molecular-scale computations at the cellular level. Results: We ...
Israel Mark Martínez-Pérez, Gong Zha...