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» Classifying Problems into Complexity Classes
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145
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CVPR
2012
IEEE
13 years 5 months ago
Complex loss optimization via dual decomposition
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Mani Ranjbar, Arash Vahdat, Greg Mori
LOGCOM
2010
120views more  LOGCOM 2010»
15 years 1 months ago
Arithmetical Complexity of First-order Predicate Fuzzy Logics Over Distinguished Semantics
All promiment examples of first-order predicate fuzzy logics are undecidable. This leads to the problem of the arithmetical complexity of their sets of tautologies and satisfiab...
Franco Montagna, Carles Noguera
137
Voted
TCBB
2011
14 years 9 months ago
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang
117
Voted
AAAI
2000
15 years 4 months ago
The Complexity of Restricted Consequence Finding and Abduction
We analyze the complexity of propositional kernel resolution (del Val 1999), a general method for obtaining logical consequences in restricted target languages. Different choices ...
Alvaro del Val
EOR
2008
136views more  EOR 2008»
15 years 2 months ago
Complexity and exact algorithms for vertex multicut in interval and bounded treewidth graphs
Multicut is a fundamental network communication and connectivity problem. It is defined as: given an undirected graph and a collection of pairs of terminal vertices, find a minimu...
Jiong Guo, Falk Hüffner, Erhan Kenar, Rolf Ni...