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GECCO
2004
Springer
15 years 11 months ago
Shortcomings with Tree-Structured Edge Encodings for Neural Networks
In evolutionary algorithms a common method for encoding neural networks is to use a tree-structured assembly procedure for constructing them. Since node operators have difficulties...
Gregory Hornby
139
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CRYPTO
1990
Springer
58views Cryptology» more  CRYPTO 1990»
15 years 10 months ago
Structural Properties of One-way Hash Functions
We study the following two kinds of one-way hash functions: universal oneway hash functions (UOHs) and collision intractable hash functions (CIHs). The main property of the former...
Yuliang Zheng, Tsutomu Matsumoto, Hideki Imai
UAI
2004
15 years 7 months ago
Case-Factor Diagrams for Structured Probabilistic Modeling
We introduce a probabilistic formalism subsuming Markov random fields of bounded tree width and probabilistic context free grammars. Our models are based on a representation of Bo...
David A. McAllester, Michael Collins, Fernando Per...
SODA
1996
ACM
95views Algorithms» more  SODA 1996»
15 years 7 months ago
RNC Algorithms for the Uniform Generation of Combinatorial Structures
We describe several RNC algorithms for generating graphs and subgraphs uniformly at random. For example, unlabelled undirected graphs are generated in O(lg3 n) time using O n2 lg3...
Michele Zito, Ida Pu, Martyn Amos, Alan Gibbons
PAMI
2008
119views more  PAMI 2008»
15 years 6 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes