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CRYPTO
2004
Springer
86views Cryptology» more  CRYPTO 2004»
16 years 19 days ago
On Multiple Linear Approximations
In this paper we study the long standing problem of information extraction from multiple linear approximations. We develop a formal statistical framework for block cipher attacks b...
Alex Biryukov, Christophe De Cannière, Mich...
ECAI
2004
Springer
16 years 19 days ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
KAIS
2000
86views more  KAIS 2000»
15 years 7 months ago
A Mathematical Foundation for Improved Reduct Generation in Information Systems
When data sets are analyzed, statistical pattern recognition is often used to find the information hidden in the data. Another approach to information discovery is data mining. Dat...
Janusz A. Starzyk, Dale E. Nelson, Kirk Sturtz
WCRE
2007
IEEE
16 years 1 months ago
Interprocedural Static Single Assignment Form
In this paper we describe interprocedural static single assignment form (ISSA) with optimizations as implemented in the Bauhaus project. We explain our framework which abstract pr...
Stefan Staiger, Gunther Vogel, Steffen Keul, Eduar...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 11 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...