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» Exploiting Decomposition in Constraint Optimization Problems
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DAWAK
2005
Springer
14 years 1 months ago
Optimizing a Sequence of Frequent Pattern Queries
Discovery of frequent patterns is a very important data mining problem with numerous applications. Frequent pattern mining is often regarded as advanced querying where a user speci...
Mikolaj Morzy, Marek Wojciechowski, Maciej Zakrzew...
ICML
2004
IEEE
14 years 8 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
ALGORITHMICA
2007
145views more  ALGORITHMICA 2007»
13 years 7 months ago
Counting Integer Points in Parametric Polytopes Using Barvinok's Rational Functions
Abstract Many compiler optimization techniques depend on the ability to calculate the number of elements that satisfy certain conditions. If these conditions can be represented by ...
Sven Verdoolaege, Rachid Seghir, Kristof Beyls, Vi...
AICCSA
2007
IEEE
124views Hardware» more  AICCSA 2007»
14 years 2 months ago
The Maximum Common Subgraph Problem: Faster Solutions via Vertex Cover
In the maximum common subgraph (MCS) problem, we are given a pair of graphs and asked to find the largest induced subgraph common to them both. With its plethora of applications,...
Faisal N. Abu-Khzam, Nagiza F. Samatova, Mohamad A...
DCC
2011
IEEE
13 years 2 months ago
Collaboration in Distributed Hypothesis Testing with Quantized Prior Probabilities
The effect of quantization of prior probabilities in a collection of distributed Bayesian binary hypothesis testing problems over which the priors themselves vary is studied. In ...
Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal