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ICML
2004
IEEE
15 years 8 months ago
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Hisashi Kashima, Yuta Tsuboi
ISPW
2008
IEEE
15 years 9 months ago
Scoping Software Process Models - Initial Concepts and Experience from Defining Space Standards
Defining process standards by integrating, harmonizing, and standardizing heterogeneous and often implicit processes is an important task, especially for large development organiza...
Ove Armbrust, Masafumi Katahira, Yuko Miyamoto, J&...
CP
2007
Springer
15 years 9 months ago
Exploiting Past and Future: Pruning by Inconsistent Partial State Dominance
It has recently been shown, for the Constraint Satisfaction Problem (CSP), that the state associated with a node of the search tree built by a backtracking algorithm can be exploit...
Christophe Lecoutre, Lakhdar Sais, Sébastie...
115
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AUSAI
2004
Springer
15 years 8 months ago
Set Bounds and (Split) Set Domain Propagation Using ROBDDs
Most propagation-based set constraint solvers approximate the set of possible sets that a variable can take by upper and lower bounds, and perform so-called set bounds propagation....
Peter Hawkins, Vitaly Lagoon, Peter J. Stuckey
CP
1998
Springer
15 years 7 months ago
Constraints for Object Recognition in Aerial Images - Handling of Unobserved Features
In this paper we will show how constraint solving methods can be applied for the recognition of buildings in aerial images. Object models are transformed to constraint representati...
Thomas H. Kolbe