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» A Representation Theorem and Applications
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ISCI
2008
74views more  ISCI 2008»
13 years 10 months ago
Strong limit theorems for random sets and fuzzy random sets with slowly varying weights
Theories of random sets and fuzzy random sets are useful concepts which are frequently applied in scientific areas including information science, probability and statistics. In th...
Ke-ang Fu, Li-xin Zhang
MOC
1998
95views more  MOC 1998»
13 years 10 months ago
The Trotter-Kato theorem and approximation of PDEs
Abstract. We present formulations of the Trotter-Kato theorem for approximation of linear C0-semigroups which provide very useful framework when convergence of numerical approximat...
Kazufumi Ito, Franz Kappel
ICML
2004
IEEE
14 years 11 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
EMNLP
2007
14 years 2 days ago
Structured Prediction Models via the Matrix-Tree Theorem
This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently non-projective dependency structures. We show how p...
Terry Koo, Amir Globerson, Xavier Carreras, Michae...
ICALP
2007
Springer
14 years 4 months ago
A Combinatorial Theorem for Trees
Following the idea developed by I. Simon in his theorem of Ramseyan factorisation forests, we develop a result of ‘deterministic factorisations’. This extra determinism propert...
Thomas Colcombet