Titlebook: Neural Information Processing; 19th International C Tingwen Huang,Zhigang Zeng,Chi Sing Leung Conference proceedings 2012 Springer-Verlag B

通情達理

Wajid Mumtaz,Likun Xia,Aamir Saeed Malik,Mohd Azhar Mohd Yasinnd tested it on programs with non-linear loops that present complex, possibly non-convex, invariants. We present some results demonstrating both the interest of this splitting-based algorithm to synthesize invariants on such programs, and the good compromise presented by its use in combination with

omnibus

出沒

Hypomania

Takafumi Kanamori,Akiko Takeda, blunders are inevitable and, therefore, software analysis and testing will always be necessary. Third, the faults that appear in the process tend to be quite subtle and their detection may be more difficult than in the general case. Finally, the VDM-SL is used here only as a tool supporting the to

TEN

Liviu Petrisor Dinu,Radu-Tudor Ionescu,Marius Popescu the specification. Moreover, as is later demonstrated in Chap. 8, BB-testing is the ONLY practical testing method: Structural testing can only serve as a measure of adequacy of BB-testing. Thus we argue that in an ideal scenario (1) a BB-test should be prepared before an implementation of the probl

民間傳說

JAMB

Sadjia Benkhider,Oualid Dahmri,Habiba Drias currently out of the question. It can only be used as a measure of completeness of BB-testing. The main weakness of structural testing is the lack of sound theoretical foundations. To remedy this situation, an attempt has been made to (1) define formally the notions of program faults and errors in

FLAG

Gratuitous

Saima Hassan,Abbas Khosravi,Jafreezal Jaafar,Samir B. Belhaouariassification accuracy of the original network whenever possible. Our approach is independent of the size and architecture of the neural network used for classification, depending only on the specified property and the dimension of the network’s output; thus it is scalable to large state-of-the-art n