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CSL
2010
Springer
13 years 8 months ago
Randomisation and Derandomisation in Descriptive Complexity Theory
We study probabilistic complexity classes and questions of derandomisation from a logical point of view. For each logic L we introduce a new logic BPL, bounded error probabilistic ...
Kord Eickmeyer, Martin Grohe
CORR
2007
Springer
94views Education» more  CORR 2007»
13 years 8 months ago
Size reduction of complex networks preserving modularity
The ubiquity of modular structure in real-world complex networks is being the focus of attention in many trials to understand the interplay between network topology and functionali...
Alex Arenas, J. Duch, A. Fernandez, Sergio G&oacut...
JMLR
2006
118views more  JMLR 2006»
13 years 8 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
CORR
2010
Springer
110views Education» more  CORR 2010»
13 years 8 months ago
Detecting communities of triangles in complex networks using spectral optimization
The study of the sub-structure of complex networks is of major importance to relate topology and functionality. Many efforts have been devoted to the analysis of the modular struc...
Belkacem Serrour, Alex Arenas, Sergio Gómez
DBA
2004
111views Database» more  DBA 2004»
13 years 10 months ago
Effective Decompositioning of Complex Spatial Objects into Intervals
In order to guarantee efficient query processing together with industrial strength, spatial index structures have to be integrated into fully-fledged object-relational database ma...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...