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CRV
2011
IEEE
352views Robotics» more  CRV 2011»
12 years 7 months ago
Conformative Filter: A Probabilistic Framework for Localization in Reduced Space
— Algorithmic problem reduction is a fundamental approach to problem solving in many fields, including robotics. To solve a problem using this scheme, we must reduce the problem...
Chatavut Viriyasuthee, Gregory Dudek
GECCO
2003
Springer
167views Optimization» more  GECCO 2003»
14 years 20 days ago
Dimensionality Reduction via Genetic Value Clustering
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
Alexander P. Topchy, William F. Punch
STTT
2010
120views more  STTT 2010»
13 years 2 months ago
Solving the ignoring problem for partial order reduction
Abstract. Partial order reduction limits the state explosion problem that arises in model checking by limiting the exploration of redundant interleavings. A state space search algo...
Sami Evangelista, Christophe Pajault
AMAST
2006
Springer
13 years 11 months ago
A Computational Group Theoretic Symmetry Reduction Package for the Spin Model Checker
Abstract. Symmetry reduced model checking is hindered by two problems: how to identify state space symmetry when systems are not fully symmetric, and how to determine equivalence o...
Alastair F. Donaldson, Alice Miller
CG
1998
Springer
13 years 11 months ago
Relevance Cuts: Localizing the Search
Humans can e ectively navigate through large search spaces, enabling them to solve problems with daunting complexity. This is largely due to an ability to successfully distinguish ...
Andreas Junghanns, Jonathan Schaeffer