hessian structure (the hessian matrix has heavy memory storage and an expensive computational-cost) with directional-derivatives , reducing the second order information computational cost of one order without approximation.Control`s local informations (i.e. gradient and it`s directional derivate) are found trough an extended form of the back-propagation rule used for neural-network and that new extended form can perform not only weighted-sum and
Cenzic to Present on Web Security Threats at OWASP AppSec National ConferenceWASHINGTON, DC--(Marketwire - November 10, 2009) - OWASP AppSec Conference -- Cenzic Inc., the leading provider of application security assessment and risk management solutions, today announced its CTO and VP of Engineering, Lars Ewe will be presenting on "Development Issues Within AJAX Applications: How to Divert Threats" on Thursday, November 12, and "Scalable Application Assessment in the Enterprise" with Tom Parker of Securicon LLC, on Friday, November 13, at OWASP AppSec in Washington, DC.
hessian structure (the hessian matrix has heavy memory storage and an expensive computational-cost) with directional-derivatives , reducing the second order information computational cost of one order without approximation.Control`s local informations (i.e. gradient and it`s directional derivate) are found trough an extended form of the back-propagation rule used for neural-network and that new extended form can perform not only weighted-sum and