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APIN
1998
139views more  APIN 1998»
15 years 6 months ago
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
Sung-Bae Cho, Katsunori Shimohara
PAMI
2007
176views more  PAMI 2007»
15 years 6 months ago
Approximate Labeling via Graph Cuts Based on Linear Programming
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
Nikos Komodakis, Georgios Tziritas
TCS
2010
15 years 4 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
SIGCSE
2010
ACM
121views Education» more  SIGCSE 2010»
16 years 1 months ago
Using strategies for assessment of programming exercises
Programming exercise assessment tools alleviate the task of teachers, and increase consistency of markings. Many programming exercise assessment tools are based on testing. A test...
Alex Gerdes, Johan Jeuring, Bastiaan Heeren
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 7 months ago
Enhanced generalized ant programming (EGAP)
This paper begins by reviewing different methods of automatic programming while emphasizing the technique of Ant Programming (AP). AP uses an ant foraging metaphor in which ants g...
Amirali Salehi-Abari, Tony White