Editorial Board
Introduction to the special issue on Combining Constraint Solving with Mining and Learning
MiningZinc: A declarative framework for constraint-based mining
Mining Top-k motifs with a SAT-based framework
Skypattern mining: From pattern condensed representations to dynamic constraint satisfaction problems
Constrained clustering by constraint programming
A flexible ILP formulation for hierarchical clustering
Cost-optimal constrained correlation clustering via weighted partial Maximum Satisfiability
Semantic-based regularization for learning and inference
Structured learning modulo theories
Relational linear programming
Learning an efficient constructive sampler for graphs
Learning Bayesian network parameters under equivalence constraints
Integer Linear Programming for the Bayesian network structure learning problem
Automatic construction of parallel portfolios via algorithm configuration
Alors: An algorithm recommender system
Constraint acquisition
Empirical decision model learning
Auction optimization using regression trees and linear models as integer programs