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ICAI
2003
13 years 9 months ago
Threshold Behavior in a Boolean Network Model for SAT
Boolean satisfiability (SAT) is the canonical NP-complete problem that plays an important role in AI and has many practical applications in Computer Science in general. Boolean n...
Alejandro Bugacov, Aram Galstyan, Kristina Lerman
ISNN
2010
Springer
13 years 6 months ago
Extension of the Generalization Complexity Measure to Real Valued Input Data Sets
Abstract. This paper studies the extension of the Generalization Complexity (GC) measure to real valued input problems. The GC measure, defined in Boolean space, was proposed as a...
Iván Gómez, Leonardo Franco, Jos&eac...
IJCAI
1997
13 years 9 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob
NC
2011
201views Neural Networks» more  NC 2011»
13 years 2 months ago
The computational power of membrane systems under tight uniformity conditions
We apply techniques from complexity theory to a model of biological cellular membranes known as membrane systems or P-systems. Like Boolean circuits, membrane systems are defined ...
Niall Murphy, Damien Woods