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ICML
2005
IEEE
14 years 10 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
SSDBM
2009
IEEE
116views Database» more  SSDBM 2009»
14 years 4 months ago
Constraint-Based Learning of Distance Functions for Object Trajectories
Abstract. With the drastic increase of object trajectory data, the analysis and exploration of trajectories has become a major research focus with many applications. In particular,...
Wei Yu, Michael Gertz
EOR
2006
88views more  EOR 2006»
13 years 9 months ago
Nonessential objectives within network approaches for MCDM
In Gal and Hanne [Eur. J. Oper. Res. 119 (1999) 373] the problem of using several methods to solve a multiple criteria decision making (MCDM) problem with linear objective functio...
Tomas Gal, Thomas Hanne
CP
2007
Springer
14 years 3 months ago
A Generic Geometrical Constraint Kernel in Space and Time for Handling Polymorphic k-Dimensional Objects
: This report introduces a geometrical constraint kernel for handling the location in space and time of polymorphic k-dimensional objects subject to various geometrical and time co...
Nicolas Beldiceanu, Mats Carlsson, Emmanuel Poder,...
FPCA
1989
14 years 1 months ago
F-Bounded Polymorphism for Object-Oriented Programming
Bounded quantification was introduced by Cardelli and Wegner as a means of typing functions that operate uniformly over all subtypes of a given type. They defined a simple “ob...
Peter S. Canning, William R. Cook, Walter L. Hill,...