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ICML
2004
IEEE
16 years 5 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
CSCLP
2005
Springer
15 years 10 months ago
On Generators of Random Quasigroup Problems
Problems that can be sampled randomly are a good source of test suites for comparing quality of constraint satisfaction techniques. Quasigroup problems are representatives of struc...
Roman Barták
COLT
2007
Springer
15 years 8 months ago
Resampling-Based Confidence Regions and Multiple Tests for a Correlated Random Vector
We study generalized bootstrapped confidence regions for the mean of a random vector whose coordinates have an unknown dependence structure, with a non-asymptotic control of the co...
Sylvain Arlot, Gilles Blanchard, Étienne Ro...
CPC
2006
93views more  CPC 2006»
15 years 4 months ago
Generating Outerplanar Graphs Uniformly at Random
We show how to generate labeled and unlabeled outerplanar graphs with n vertices uniformly at random in polynomial time in n. To generate labeled outerplanar graphs, we present a c...
Manuel Bodirsky, Mihyun Kang
FASE
2011
Springer
14 years 8 months ago
Testing Container Classes: Random or Systematic?
Abstract. Container classes such as lists, sets, or maps are elementary data structures common to many programming languages. Since they are a part of standard libraries, they are ...
Rohan Sharma, Milos Gligoric, Andrea Arcuri, Gordo...