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» On Computing Functions with Uncertainty
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ICPR
2008
IEEE
14 years 11 months ago
A new objective function for sequence labeling
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...
Hisashi Kashima, Yuta Tsuboi
ICNSC
2007
IEEE
14 years 4 months ago
Designing an Implementable User-Oriented Objective Function for MANETs
Communication networks are usually managed with network-oriented objectives such as throughput and latency. However, in military networks, these objectives are inappropriate; inst...
Karen Zita Haigh, Olu Olofinboba, Choon Yik Tang
PPSN
1994
Springer
14 years 1 months ago
A Cooperative Coevolutionary Approach to Function Optimization
A general model for the coevolution of cooperating species is presented. This model is instantiated and tested in the domain of function optimization, and compared with a tradition...
Mitchell A. Potter, Kenneth A. De Jong
DAC
2009
ACM
14 years 10 months ago
BDD-based synthesis of reversible logic for large functions
Reversible logic is the basis for several emerging technologies such as quantum computing, optical computing, or DNA computing and has further applications in domains like low-pow...
Robert Wille, Rolf Drechsler
SMA
2003
ACM
154views Solid Modeling» more  SMA 2003»
14 years 2 months ago
Discretization of functionally based heterogeneous objects
The presented approach to discretization of functionally defined heterogeneous objects is oriented towards applications associated with numerical simulation procedures, for exampl...
Elena Kartasheva, Valery Adzhiev, Alexander A. Pas...