The following pages link to Aleph (Q24041):
Displaying 50 items.
- Advances in integrative statistics for logic programming (Q324669) (← links)
- Explaining mixture models through semantic pattern mining and banded matrix visualization (Q338636) (← links)
- Gradient-based boosting for statistical relational learning: the relational dependency network case (Q439014) (← links)
- Data and task parallelism in ILP using mapreduce (Q439026) (← links)
- kLog: a language for logical and relational learning with kernels (Q464624) (← links)
- Formulating the template ILP consistency problem as a constraint satisfaction problem (Q487650) (← links)
- Learning from positive and unlabeled data: a survey (Q782438) (← links)
- Nonmonotonic abductive inductive learning (Q833734) (← links)
- Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited (Q894695) (← links)
- Parallel ILP for distributed-memory architectures (Q1009328) (← links)
- Introducing possibilistic logic in ILP for dealing with exceptions (Q1028964) (← links)
- Ultra-strong machine learning: comprehensibility of programs learned with ILP (Q1621886) (← links)
- Consensus-based modeling using distributed feature construction with ILP (Q1640573) (← links)
- The complexity and generality of learning answer set programs (Q1647512) (← links)
- The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause (Q1959491) (← links)
- Using the bottom clause and mode declarations in FOL theory revision from examples (Q1959495) (← links)
- An investigation into feature construction to assist word sense disambiguation (Q1959499) (← links)
- Learning programs by learning from failures (Q2051282) (← links)
- Incorporating symbolic domain knowledge into graph neural networks (Q2071312) (← links)
- Learning explanations for biological feedback with delays using an event calculus (Q2102315) (← links)
- Learning any memory-less discrete semantics for dynamical systems represented by logic programs (Q2102410) (← links)
- Inductive logic programming at 30 (Q2127222) (← links)
- Inclusion of domain-knowledge into GNNs using mode-directed inverse entailment (Q2127250) (← links)
- Automated generation of control concepts annotation rules using inductive logic programming. System description (Q2163169) (← links)
- FOLD-R++: a scalable toolset for automated inductive learning of default theories from mixed data (Q2163174) (← links)
- Lifting symmetry breaking constraints with inductive logic programming (Q2163186) (← links)
- Learning higher-order logic programs (Q2203320) (← links)
- Constructing generative logical models for optimisation problems using domain knowledge (Q2203323) (← links)
- Inductive general game playing (Q2203324) (← links)
- Propositionalization and embeddings: two sides of the same coin (Q2203327) (← links)
- Structure learning for relational logistic regression: an ensemble approach (Q2238344) (← links)
- Lifted graphical models: a survey (Q2347709) (← links)
- On the use of stochastic local search techniques to revise first-order logic theories from examples (Q2361575) (← links)
- An empirical study of on-line models for relational data streams (Q2361576) (← links)
- Semi-supervised online structure learning for composite event recognition (Q2425248) (← links)
- Lifted discriminative learning of probabilistic logic programs (Q2425249) (← links)
- Learning goal hierarchies from structured observations and expert annotations (Q2433176) (← links)
- Quantitative pharmacophore models with inductive logic programming (Q2433182) (← links)
- First order random forests: Learning relational classifiers with complex aggregates (Q2433184) (← links)
- Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves (Q2433187) (← links)
- Learning to rank the distinctiveness of behaviour in serial offending (Q2694614) (← links)
- Subsumer: a Prolog \(\theta\)-subsumption engine (Q2883090) (← links)
- ProGolem: A System Based on Relative Minimal Generalisation (Q3582688) (← links)
- Iterative Learning of Answer Set Programs from Context Dependent Examples (Q4593062) (← links)
- (Q4633042) (← links)
- (Q5020582) (← links)
- FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data (Q5038469) (← links)
- White-box Induction From SVM Models: Explainable AI with Logic Programming (Q5140006) (← links)
- Using SWISH to Realize Interactive Web-based Tutorials for Logic-based Languages (Q5197752) (← links)
- (Q5214222) (← links)
