TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
| - | |
| - Data Mining | |
| - High Utility Itemsets | |
| - Propositional Satisfiability | |
| A | |
| abductive explanations | |
| Acquisition of conjectures | |
| Adaptive Search Heuristic | |
| Algorithms | |
| almost stable matching | |
| Any-space Algorithms | |
| auditable solving | |
| automated algorithm configuration | |
| automated algorithm design | |
| automated instance generation | |
| automation | |
| B | |
| backdoor depth | |
| backdoor sets | |
| Bayesian Network Structure Learning | |
| benchmarking | |
| Binary Constraint Tree | |
| bounds | |
| branch-and-bound | |
| branch-and-cut | |
| C | |
| Cache | |
| case study | |
| certifying algorithms | |
| Chvátal-Gomory cuts | |
| CNF | |
| Color refinement algorithm | |
| Combinatorial optimization | |
| Complete Search Algorithms | |
| complexity | |
| Compressed tables | |
| Constrained Single-Row Facility Layout Problem | |
| constraint | |
| Constraint Acquisition | |
| Constraint Learning | |
| Constraint Modelling | |
| Constraint Optimization Problems | |
| constraint programming | |
| constraint propagation | |
| constraint satisfaction | |
| Constraint Satisfaction Problem | |
| constraint satisfaction problems | |
| Contamination Constraints | |
| contrastive explanations | |
| cost function network | |
| Counting solutions | |
| cutting planes | |
| D | |
| data-driven algorithm design | |
| DCOP | |
| decision diagrams | |
| Decision trees | |
| declarative modeling language | |
| Dial A Ride | |
| digraphs | |
| discrete optimization | |
| distributed algorithms | |
| Dominance Breaking | |
| E | |
| Electric power network | |
| embarrassingly parallel search | |
| F | |
| Filtering algorithm | |
| finite constraint languages | |
| first-order logic | |
| G | |
| generalization guarantees | |
| Gini index | |
| global constraints | |
| graph coloring | |
| Grounded Theory | |
| H | |
| heuristics | |
| Human-Computer Interaction | |
| I | |
| Insertion Variables | |
| integer programming | |
| interpretable models | |
| K | |
| Knowledge Compilation | |
| Knowledge Representation | |
| L | |
| large neighborhood search | |
| Large Neighbourhood Search | |
| Lazy clause generation | |
| linear constraints | |
| Linear programming relaxation | |
| Local Search | |
| M | |
| machine learning | |
| machine learning theory | |
| Maritime Traffic Control | |
| max-sat | |
| Max-SAT Resolution | |
| maximum clique | |
| MDD | |
| Metaheuristics | |
| minimum explanations | |
| Mixed Integer Progamming | |
| Mixed Integer Programming | |
| Mixed-Integer Programming | |
| Model Checking Problem | |
| Model Counter | |
| Model Synthesis | |
| Modelling | |
| Multi-Agent Path Coordination | |
| Multi-homomorphism | |
| multi-valued decision diagrams | |
| music composition | |
| N | |
| Negative tables | |
| network security | |
| networks/graphs | |
| NFA | |
| O | |
| optimization | |
| Ordered Multivalued Decision Diagram | |
| P | |
| parallel branch-and-bound | |
| Parallel Machine Scheduling | |
| parameterized complexity | |
| Passive Learning | |
| Patient Transportation | |
| Planning | |
| polymorphism | |
| Portfolio | |
| project management | |
| Promise Constraint Satisfaction Problem | |
| Promise Valued Constraint Satisfaction Problem | |
| Proof | |
| proof logging | |
| propagation | |
| propagation strength | |
| Propositional planning | |
| pseudo-Boolean constraints | |
| R | |
| redundancy | |
| reinforcement learning | |
| relaxation | |
| resource-constrained project scheduling problem | |
| Robust Solutions | |
| S | |
| sample complexity | |
| SAT encodings | |
| SAT Sampling | |
| SAT solver | |
| SAT solvers | |
| Satisfiability | |
| scheduling | |
| search heuristic | |
| sequence generation | |
| Sequence Variables | |
| sequencing | |
| Ship refit planning | |
| Simulated Annealing | |
| Solution counting | |
| solver engine | |
| Spread constraint | |
| Subgraph isomorphism | |
| Symmetric fractional polymorphisms | |
| T | |
| Testing of Samplers | |
| The Art of Computer Programming | |
| three-dimensional stable matching with cyclic preferences | |
| Trajectory Learning | |
| Transmission maintenance scheduling | |
| tree search | |
| trustworthy decision making | |
| TSPTW | |
| Turan number | |
| U | |
| Uncertainty | |
| User study | |
| V | |
| Variable Ordering Heuristic | |
| Vehicle Routing | |
| W | |
| weighted constraint satisfaction problem | |