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ORCIDArtificial Intelligence, Volume 244
Volume 244, March 2017
- Andrea Passerini
, Guido Tack, Tias Guns:
Introduction to the special issue on Combining Constraint Solving with Mining and Learning. 1-5 - Tias Guns, Anton Dries, Siegfried Nijssen, Guido Tack, Luc De Raedt:
MiningZinc: A declarative framework for constraint-based mining. 6-29 - Saïd Jabbour, Lakhdar Sais, Yakoub Salhi:
Mining Top-k motifs with a SAT-based framework. 30-47 - Willy Ugarte, Patrice Boizumault, Bruno Crémilleux, Alban Lepailleur, Samir Loudni, Marc Plantevit, Chedy Raïssi, Arnaud Soulet:
Skypattern mining: From pattern condensed representations to dynamic constraint satisfaction problems. 48-69 - Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain:
Constrained clustering by constraint programming. 70-94 - Sean Gilpin, Ian Davidson:
A flexible ILP formulation for hierarchical clustering. 95-109 - Jeremias Berg, Matti Järvisalo:
Cost-optimal constrained correlation clustering via weighted partial Maximum Satisfiability. 110-142 - Michelangelo Diligenti, Marco Gori, Claudio Saccà:
Semantic-based regularization for learning and inference. 143-165 - Stefano Teso, Roberto Sebastiani, Andrea Passerini:
Structured learning modulo theories. 166-187 - Kristian Kersting, Martin Mladenov, Pavel Tokmakov:
Relational linear programming. 188-216 - Fabrizio Costa:
Learning an efficient constructive sampler for graphs. 217-238 - Tiansheng Yao, Arthur Choi, Adnan Darwiche:
Learning Bayesian network parameters under equivalence constraints. 239-257 - Mark Bartlett, James Cussens:
Integer Linear Programming for the Bayesian network structure learning problem. 258-271 - Marius Lindauer, Holger H. Hoos, Kevin Leyton-Brown, Torsten Schaub:
Automatic construction of parallel portfolios via algorithm configuration. 272-290 - Mustafa Misir, Michèle Sebag:
Alors: An algorithm recommender system. 291-314 - Christian Bessiere, Frédéric Koriche, Nadjib Lazaar, Barry O'Sullivan:
Constraint acquisition. 315-342 - Michele Lombardi, Michela Milano, Andrea Bartolini:
Empirical decision model learning. 343-367 - Sicco Verwer, Yingqian Zhang, Qing Chuan Ye:
Auction optimization using regression trees and linear models as integer programs. 368-395
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