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» From Constraints to Finite Automata to Filtering Algorithms
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JMLR
2008
83views more  JMLR 2008»
13 years 8 months ago
Generalization from Observed to Unobserved Features by Clustering
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
Eyal Krupka, Naftali Tishby
ICDAR
1995
IEEE
14 years 3 hour ago
Efficient analysis of complex diagrams using constraint-based parsing
This paper describes substantial advances in the analysis (parsing) of diagrams using constraint grammars. The addition of set types to the grammar and spatial indexing of the dat...
Robert P. Futrelle, Nikos Nikolakis
CP
2009
Springer
14 years 9 months ago
Evaluation of Length-Lex Set Variables
This paper presents the first experimental evaluation of the length-lex domain for set variables. The implementation is based on bound-consistency algorithms proposed in earlier wo...
Justin Yip, Pascal Van Hentenryck
JIIS
2008
89views more  JIIS 2008»
13 years 8 months ago
A note on phase transitions and computational pitfalls of learning from sequences
An ever greater range of applications call for learning from sequences. Grammar induction is one prominent tool for sequence learning, it is therefore important to know its proper...
Antoine Cornuéjols, Michèle Sebag
CP
2009
Springer
14 years 9 months ago
Filtering Numerical CSPs Using Well-Constrained Subsystems
When interval methods handle systems of equations over the reals, two main types of filtering/contraction algorithms are used to reduce the search space. When the system is well-co...
Ignacio Araya, Gilles Trombettoni, Bertrand Neveu