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» An ACO Algorithm for the Most Probable Explanation Problem
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CIDM
2009
IEEE
13 years 11 months ago
Handling continuous attributes in Ant Colony Classification algorithms
Most real-world classification problems involve continuous (real-valued) attributes, as well as, nominal (discrete) attributes. The majority of Ant Colony Optimisation (ACO) classi...
Fernando E. B. Otero, Alex Alves Freitas, Colin G....
ICFP
2001
ACM
14 years 7 months ago
Compositional Explanation of Types and Algorithmic Debugging of Type Errors
The type systems of most typed functional programming languages are based on the Hindley-Milner type system. A practical problem with these type systems is that it is often hard t...
Olaf Chitil
SIGMOD
2011
ACM
202views Database» more  SIGMOD 2011»
12 years 10 months ago
Sensitivity analysis and explanations for robust query evaluation in probabilistic databases
Probabilistic database systems have successfully established themselves as a tool for managing uncertain data. However, much of the research in this area has focused on efficient...
Bhargav Kanagal, Jian Li, Amol Deshpande
EOR
2008
140views more  EOR 2008»
13 years 7 months ago
Combining two pheromone structures for solving the car sequencing problem with Ant Colony Optimization
The car sequencing problem involves scheduling cars along an assembly line while satisfying capacity constraints. In this paper, we describe an Ant Colony Optimization (ACO) algor...
Christine Solnon
CPAIOR
2005
Springer
14 years 18 days ago
Computing Explanations for the Unary Resource Constraint
Integration of explanations into a CSP solver is a technique addressing difficult question “why my problem has no solution”. Moreover, explanations together with advanced searc...
Petr Vilím