Handbook of Constraint Programming

By Francesca Rossi, Peter van Beek, Thomas J. Walsh. 2006

1,735 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/341e501790209f178ded2bd6b8729add7ec8bb02

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Citations in the corpus

Agents, Bodies, Constraints, Dynamics, and Evolution (2009, background): “Handbook of Constraint Programming.”
Constraint Programming for Data Mining and Machine Learning (2010, background): “Today, effective and general purpose constraint solvers exist in the area of constraint programming (Rossi, van Beek, and Walsh 2006).”
Potassco: The Potsdam Answer Set Solving Collection (2011, positive): “This is addressed by the hybrid ASP solver clingcon [52], combining the Boolean modeling capacities of ASP with Constraint Processing (CP; [19, 89]).”
Emerging materials intelligence ecosystems propelled by machine learning (2020, methodology): “An alternative approach is to constrain (similar to the idea of constraint programming 220 ) the space of functions considered by a ML model (during the training), such that only cases that respect the known physical and chemical relations are allowed.”
Combinatorial optimization and reasoning with graph neural networks (2021, background): “Constraint programming (CP) [106] CP is a general framework proposing simple algorithmic solutions to constrained problems.”
Constraint Logic Programming (2010, methodology): “Constraint solving [127, 6, 56, 31] includes a variety of expressive modelling frameworks and efficient solving tools for real-life problems that can be described via a set of variables and constraints over them.”
Constraint programming for itemset mining (2008, positive): “INTRODUCTION Forquite some time, thedata mining communityhasbeen interestedin constraint-based mining, thatis, the use of constraints to specify the desired properties of the patterns to be mined[1,4,5,6,8,11,12,15,16,10].”
User-Centric Cell-Free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions (2021, background): “Hence, we must establish the implied trade-off through a robust study for the effect of distributing (or co-locating) the available antennas on”