yusuke1997/dblp-id-title huggingface dataset:
Efficient Sampling in Relational Feature Spaces
Mine 'Em All: A Note on Mining All Graphs
Efficient and Effective Induction of First Order Decision Lists
Demystifying Relational Latent Representations
ILP: Just Do It
Cautious Induction in Inductive Logic Programming
Multivariate Prediction for Learning on the Semantic Web
Restructuring Chain Datalog Programs (Preliminary Report)
The Complexity of Translating BLPs to RMMs
Set-Valued Probabilistic Sentential Decision Diagrams
Online Learning of Logic Based Neural Network Structures
Variation of Background Knowledge in an Industrial Application of ILP
Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Programming
Using Ontologies in Semantic Data Mining with g-SEGS and Aleph
Modeling Bitcoin Protocols with Probabilistic Logic Programming
Model Revision from Temporal Logic Properties in Computational Systems Biology
Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems
A Comparison between Two Statistical Relational Models
Towards an ILP Application in Machine Ethics
Induction of the Indirect Effects of Actions by Monotonic Methods
Towards Combining Inductive Logic Programming with Bayesian Networks
Probing the Space of Optimal Markov Logic Networks for Sequence Labeling
An Automated ILP Server in the Field of Bioinformatics
On Differentially Private Inductive Logic Programming
Probabilistic First-Order Classification
A FOIL-Like Method for Learning under Incompleteness and Vagueness
Machine Learning a Probabilistic Network of Ecological Interactions
Learning Through Hypothesis Refinement Using Answer Set Programming
The Game of Bridge: A Challenge for ILP
Customisable Multi-Processor Acceleration of Inductive Logic Programming
Semantic Web Meets ILP: Unconsumated Love, or No Love Lost?
Discriminative Structure Learning of Markov Logic Networks
Deeply Semantic Inductive Spatio-Temporal Learning
Learning Datalog Programs from Input and Output
Boosting First-Order Clauses for Large, Skewed Data Sets
A Formal Framework for Theory Learning Using Description Logics
Towards Nonmonotonic Relational Learning from Knowledge Graphs
Detecting Traffic Problems with ILP
Efficient Operations in Feature Terms Using Constraint Programming
Bayesian Logic Programs
Refinement Operators Can Be (Weakly) Perfect
The Robot Engineer
On the Missing Link Between Frequent Pattern Discovery and Concept Formation
Bottom-Up ILP Using Large Refinement Steps
Induction of Recursive Theories in the Normal ILP Setting: Issues and Solutions
Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, Orléans, France, September 4-6, 2017
Interval-based Activity Recognition
Learning Strategies of Inductive Logic Programming Using Reinforcement Learning
Feature Discovery with Type Extension Trees
Data Mining via ILP: The Application of Progol to a Database of Enantioseparations
Propositionalisation of Continuous Attributes beyond Simple Aggregation
Learning Dynamics with Synchronous, Asynchronous and General Semantics
ILP for Automated Telephony
Systems Biology: A New Challenge for ILP
A Genetic Algorithm for Propositionalization
Can ILP Deal with Incomplete and Vague Structured Knowledge?
Generalized Ordering-Search for Learning Directed Probabilistic Logical Models
Generalization under Implication by lambda-Subsumption
Clustering Multi-relationnal TV Data by Diverting Supervised ILP
Behavior Analysis of Executed and Attacked Players in Werewolf Game by ILP
kProbLog: An Algebraic Prolog for Kernel Programming
GPU-Accelerated Hypothesis Cover Set Testing for Learning in Logic
Induction of Fuzzy and Annotated Logic Programs
Top-Down Induction of Relational Model Trees in Multi-instance Learning
Executing Query Packs in ILP
Some Elements of Machine Learning (Extended Abstract)
Extracting the Common Structure of Compounds to Induce Plant Immunity Activation using ILP
Using Prior Probabilities and Density Estimation for Relational Classification
Speeding Up Planning through Minimal Generalizations of Partially Ordered Plans
The Structure and Complexity of Credal Semantics
Accelerating Imitation Learning in Relational Domains via Transfer by Initialization
Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning
A Strong Complete Schmema for Inductive Functional Logic Programming
DL-FOIL Concept Learning in Description Logics
Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples
Constructing Markov Logic Networks from First-Order Default Rules
Generalization Algorithms for Second-Order Terms
Activity Recognition in Multiple Contexts for Smart-House Data
Solving Selection Problems Using Preference Relation Based on Bayesian Learning
Inductive Logic Programming - 26th International Conference, ILP 2016, London, UK, September 4-6, 2016, Revised Selected Papers
A First Step Towards Even More Sparse Encodings of Probability Distributions
Efficient Cross-Validation in ILP
Programmatic Policy Extraction by Iterative Local Search
Learning Declarative Bias
Learning Automata-Based Complex Event Patterns in Answer Set Programming
Learning from Noisy Data Using a Non-covering ILP Algorithm
Inductive Logic Programming - 28th International Conference, ILP 2018, Ferrara, Italy, September 2-4, 2018, Proceedings
Foundations of Onto-Relational Learning
Converting Semantic Meta-knowledge into Inductive Bias
Late Breaking Papers of the 22nd International Conference on Inductive Logic Programming, Dubrovnik, Croatia, September 17-19, 2012
Ontology Learning from Interpretations in Lightweight Description Logics
New Advances in Logic-Based Probabilistic Modeling by PRISM
ILP for Cosmetic Product Selection
Identification in the Limit and Constraint ILP
Spatial Clustering of Structured Objects
Learning Inference by Induction
Learning from Positive Data
Towards Machine Learning of Predictive Models from Ecological Data
Heuristic Inverse Subsumption in Full-Clausal Theories
Explaining with Attribute-Based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust
Learning Directed Probabilistic Logical Models Using Ordering-Search
Toward Computing Conflict-Based Diagnoses in Probabilistic Logic Programming
Towards Clausal Discovery for Stream Mining
LazyBum: Decision Tree Learning Using Lazy Propositionalization
Application of Different Learning Methods to Hungarian Part-of-Speech Tagging
Feature Learning by Least Generalization
Inductive Databases (Abstract)
How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies?
Learnability of Description Logic Programs
A Study of Applying Dimensionality Reduction to Restrict the Size of a Hypothesis Space
Statistical Relational Learning with Soft Quantifiers
Proceedings of the 26th International Conference on Inductive Logic Programming (Short papers), London, UK, 2016
Lattice-Search Runtime Distributions May Be Heavy-Tailed
Deep Probabilistic Logic Programming
Efficient Proof Encoding
Learning Teleoreactive Logic Programs from Problem Solving
Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers
Information-relational Semantics of the Fifth System
Margin-Based First-Order Rule Learning
A New Algorithm for Computing Least Generalization of a Set of Atoms
Inductive Logic Programming, 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings
From Promising to Profitable Applications of ILP: A Case Study in Drug Discovery
Completing Inverse Entailment
A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data
Boosting Descriptive ILP for Predictive Learning in Bioinformatics
Using Belief Networks to Neutralize Known Dependencies in Conceptual Clustering
Logical Vision: Meta-Interpretive Learning for Simple Geometrical Concepts
The Most Probable Explanation for Probabilistic Logic Programs with Annotated Disjunctions
Comparative Evaluation of Approaches to Propositionalization
Estimating Maximum Likelihood Parameters for Stochastic Context-Free Graph Grammars
A Phase Transition-Based Perspective on Multiple Instance Kernels
Completing signaling networks by abductive reasoning with perturbation experiments
QG/GA: A Stochastic Search for Progol
Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity by Structural Attributes
Late Breaking Papers of the 25th International Conference on Inductive Logic Programming, Kyoto University, Kyoto, Japan, August 20th to 22nd, 2015
New Conditions for the Existence of Least Generalizations under Relative Subsumption
Fast Parameter Learning for Markov Logic Networks Using Bayes Nets
A Bounded Search Space of Clausal Theories
Which Hypotheses Can Be Found with Inverse Entailment?
Probabilistic Inference in SWI-Prolog
Macro-Operators Revisited in Inductive Logic Programming
Beyond Prediction: Directions for Probabilistic and Relational Learning
Efficient and Scalable Induction of Logic Programs Using a Deductive Database System
Analysis and Prediction of Piano Performances Using Inductive Logic Programming
Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning
A Personal View of How Best to Apply ILP
A New Declarative Bias for ILP: Construction Modes
Refining Complete Hypotheses in ILP
Inductive Logic Programming - 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3-5, 2019, Proceedings
Inductive Logic Programming - 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers
Applying Inductive Logic Programming to Process Mining
Approximate Bayesian Computation for the Parameters of PRISM Programs
Inductive Equivalence of Logic Programs
SRL without Tears: An ILP Perspective
A Mining Algorithm Using Property Items Extracted from Sampled Examples
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Using Bayesian Networks to Direct Stochastic Search in Inductive Logic Programming
Approximate Inference for Logic Programs with Annotated Disjunctions
Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming
Normal Programs and Multiple Predicate Learning
Discovering Rules by Meta-level Abduction
Notes on the Implementation of FAM
Learning Horn Definitions with Equivalence and Membership Queries
Relational Sequence Learning
Estimation-Based Search Space Traversal in PILP Environments
Extracting Requirements from Scenarios with ILP
Identifying Driver's Cognitive Load Using Inductive Logic Programming
Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers
Towards ILP-Based LTL f Passive Learning
Inductive Logic Programming, 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001, Proceedings
Relational Kernel-Based Grasping with Numerical Features
Discovering Associations between Spatial Objects: An ILP Application
Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation
Concurrent Execution of Optimal Hypothesis Search for Inverse Entailment
A Monte Carlo Study of Randomised Restarted Search in ILP
From PRISM to ProbLog and Back Again
Modelling Inhibition in Metabolic Pathways Through Abduction and Induction
Systematic Predicate Invention in Inductive Logic Programming
Evaluating Inference Algorithms for the Prolog Factor Language
Morphosyntactic Tagging of Slovene Using Progol
Learning the Parameters of Deep Probabilistic Logic Programs
Searching the Subsumption Lattice by a Genetic Algorithm
Building Theories of the World: Human and Machine Learning Perspectives
Theory Recovery
Satisfiability Machines
Efficient Data Structures for Inductive Logic Programming
Learning Programs in the Event Calculus
The PITA System for Logical-Probabilistic Inference
Learning Directed Relational Models with Recursive Dependencies
Inductive Logic Programming, 8th International Workshop, ILP-98, Madison, Wisconsin, USA, July 22-24, 1998, Proceedings
A Distribution Semantics for non-DL-Safe Probabilistic Hybrid Knowledge Bases
Predicate Selection for Structural Decision Trees
A Note on Refinement Operators for IE-Based ILP Systems
Universal Learning of Classes from Sparse and Non-uniform Evidence
Machine Learning Coalgebraic Proofs
An Experimental Overview of Neural-Symbolic Systems
Transfer Learning via Relational Templates
Challenges to Machine Learning: Relations Between Reality and Appearance
Logical Minimisation of Meta-Rules Within Meta-Interpretive Learning
Protein Fold Discovery Using Stochastic Logic Programs
An Efficient Algorithm for Computing Kernel Function Defined with Anti-unification
Frequent Hypergraph Mining
Induction of Stable Models
Stochastic Propositionalization of Non-determinate Background Knowledge
Predictive Learning in Two-Way Datasets
Improved Distances for Structured Data
Agents that Reason and Learn
A Stochastic Simple Similarity
A Topological Study of the Upward Refinement Operators in ILP
Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning
Structuring Natural Language Data by Learning Rewriting Rules
Noise-Resistant Incremental Relational Learning Using Possible Worlds
Statistical Relational Structure Learning with Scaled Weight Parameters
An Effective Grammar-Based Compression Algorithm for Tree Structured Data
A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs
Neural Networks for Relational Data
Using Machine-Generated Soft Constraints for Roster Problems
Learning Phonetic Rules in a Speech Recognition System
Functional Lifted Bayesian Networks: Statistical Relational Learning and Reasoning with Relative Frequencies
Minimal Distance-Based Generalisation Operators for First-Order Objects
Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm
Inductive Logic Programming, 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009. Revised Papers
Pairwise Markov Logic
Causal Modeling with Probabilistic Simulation Models
Brave Induction Revisited
Comparison between Explicit Learning and Implicit Modeling of Relational Features in Structured Output Spaces
ILP for Mathematical Discovery
Proceedings of the 5th International Workshop on Probabilistic Logic Programming, PLP 2018, co-located with the 28th International Conference on Inductive Logic Programming (ILP 2018), Ferrara, Italy, September 1, 2018
Using ILP to Analyse Ransomware Attacks
Can HOLL Outperform FOLL?
Positive and Unlabeled Relational Classification Through Label Frequency Estimation
Online Closure-Based Learning of Relational Theories
Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract)
Application of Pruning Techniques for Propositional Learning to Progol
Multi-class Prediction Using Stochastic Logic Programs
Meta-Interpretive Learning of Data Transformation Programs
Does Multi-Clause Learning Help in Real-World Applications?
Basic Principles of Learning Bayesian Logic Programs
Generation of Near-Optimal Solutions Using ILP-Guided Sampling
An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming
What Kinds of Relational Features Are Useful for Statistical Learning?
Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge
On a Sufficient Condition for the Existence of Most Specific Hypothesis in Progol
Learning a Generative Failure-Free PRISM Clause
Some Properties of Invers Resolution in Normal Logic Programs
Itemset-Based Variable Construction in Multi-relational Supervised Learning
Rule Evaluation Measures: A Unifying View
The Effect of Predicate Order on Curriculum Learning in ILP
Online Structure Learning for Traffic Management
Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples
Inductive Logic Programming, 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers
Relational Affordance Learning for Task-Dependent Robot Grasping
Learning Predictive Categories Using Lifted Relational Neural Networks
Knowledge Discovery in Databases: An Overview
Parameter Screening and Optimisation for ILP Using Designed Experiments
Learning Rules That Classify Ocular Fundus Images for Glaucoma Diagnosis
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
k-Optimal: A Novel Approximate Inference Algorithm for ProbLog
DOGMA: A GA-Based Relational Learner
Instance Based Function Learning
Sampling Random Bioinformatics Puzzles using Adaptive Probability Distributions
Learning from Ordinal Data with Inductive Logic Programming in Description Logic
An Experiment in Robot Discovery with ILP
Learning the Parameters of Probabilistic Description Logics
Interactive Discriminative Mining of Chemical Fragments
Probabilistic Rule Learning
Using Binary Decision Diagrams to Enumerate Inductive Logic Programming Solutions
Inductive Logic Programming, 18th International Conference, ILP 2008, Prague, Czech Republic, September 10-12, 2008, Proceedings
Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples
Integrating Relational Reinforcement Learning with Reasoning about Actions and Change
Efficient Abductive Learning of Microbial Interactions Using Meta Inverse Entailment
Seeing the Forest Through the Trees
Improving Rule Evaluation Using Multitask Learning
Inductive Logic Programming, 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings
Finding Relational Associations in HIV Resistance Mutation Data
Incremental Construction of Complex Aggregates: Counting over a Secondary Table
Creative Problem Solving by Concept Generation Using Relation Structure
Learning Closed Sets of Labeled Graphs for Chemical Applications
Inductive Logic Programming, 10th International Conference, ILP 2000, Work-in-progress reports, London, UK, July 2000, Proceedings
Induction, Abduction, and Consequence-Finding
Logical Vision: One-Shot Meta-Interpretive Learning from Real Images
Inductive Logic Programming - 27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers
An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment
Exploiting Constraints
Distance Between Herbrand Interpretations: A Measure for Approximations to a Target Concept
Term Comparisons in First-Order Similarity Measures
Learning with Kernels in Description Logics
ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions
Learning Logic Programs with Neural Networks
Learning Multi-class Theories in ILP
CONNER: A Concurrent ILP Learner in Description Logic
A Genetic Algorithms Approach to ILP
Attribute-Value Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract)
Using Theory Completion to Learn a Robot Navigation Control Program
Combining LAPIS and WordNet for Learning of LR Parsers with Optimal Semantic Constraints
Nonmonotonic Learning in Large Biological Networks
Parallel Online Learning of Event Definitions
Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem
Inductive Mercury Programming
Two Advanced Transormations for Improving the Efficiency of an ILP system
Inductive Logic Programming for Natural Language Processing
Typed meta-interpretive learning for proof strategies
Machine Learning for Systems Biology
Improving Part of Speech Disambiguation Rules by Adding Linguistic Knowledge
Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains
MMRF for Proteome Annotation Applied to Human Protein Disease Prediction
Querying and Merging Heterogeneous Data by Approximate Joins on Higher-Order Terms
Combining Macro-operators with Control Knowledge
Applying ILP to Diterpene Structure Elucidation from 13 C NMR Spectra
Learning Functions from Imperfect Positive Data
Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery
Logical Markov Decision Programs and the Convergence of Logical TD(lambda)
Ideal Downward Refinement in the EL Description Logic
Induction of Constraint Grammar-Rules Using Progol
Applying Theory Revision to the Design of Distributed Databases
Learning with Feature Description Logics
An Exhaustive Matching Procedure for the Improvement of Learning Efficiency
Strategies to Parallelize ILP Systems
ProGolem: A System Based on Relative Minimal Generalisation
Diagnosis of Event Sequences with LFIT
Relational Learning for Football-Related Predictions
Meta-interpretive Learning from Fractal Images
Selective Inductive Logic Programming
Lambda-Subsumption and Its Application to Learning from Positive-only Examples
Learning an Approximation to Inductive Logic Programming Clause Evaluation
Rapid Restart Hill Climbing for Learning Description Logic Concepts
A First-Order Axiomatization for Transition Learning with Rich Constraints
Don't Fear Optimality: Sampling for Probabilistic-Logic Sequence Models
Up-and-Coming and Short Papers of the 28th International Conference on Inductive Logic Programming (ILP 2018), Ferrara, Italy, September 2-4, 2018
Handling Quantifiers in ILP
Learning Prime Implicant Conditions from Interpretation Transition
Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models
Maximum Entropy Modeling with Clausal Constraints
An Exercise in Declarative Modeling for Relational Query Mining
Inducing Shogi Heuristics Using Inductive Logic Programming
MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement
Extending K-Means Clustering to First-Order Representations
Can ILP Learn Complete and Correct Game Strategies?
Probabilistic Logic Learning from Haplotype Data
Topic Models with Relational Features for Drug Design
Generalization Behaviour of Alkemic Decision Trees
Inductive Logic Programming - 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers
Learning Structurally Indeterminate Clauses
Extension of the Top-Down Data-Driven Strategy to ILP
A Numerical Refinement Operator Based on Multi-Instance Learning
A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars
Learning Compact Markov Logic Networks with Decision Trees
Inductive Logic Programming: 13th International Conference, ILP 2003, Szeged, Hungary, September 29-October 1, 2003, Proceedings
Learning from Linked Data by Markov Logic
Inductive Logic Program Synthesis with DIALOGS
Induction of Relational Algebra Expressions
Ontology Graph Embeddings and ILP for Financial Forecasting
Circumscription Policies for Induction
Learning Logic Programs with Annotated Disjunctions
RSD: Relational Subgroup Discovery through First-Order Feature Construction
Probabilistic First-Order Theory Revision from Examples
CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods
Revision of First-Order Bayesian Classifiers
A Simulated Annealing Framework for ILP
Learning Through Advice-Seeking via Transfer
Mode-Directed Inverse Entailment for Full Clausal Theories
A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting
DNF Hypotheses in Explanatory Induction
ILP Meets Knowledge Engineering: A Case Study
A Refinement Operator Based Learning Algorithm for the ALC Description Logic
Fire! Firing Inductive Rules from Economic Geography for Fire Risk Detection
Extending ProbLog with Continuous Distributions
Learning Modal Theories
Building Relational World Models for Reinforcement Learning
Relational Sequence Alignments and Logos
A New Algorithm for Learning Range Restricted Horn Expressions
On the Complexity of Frequent Subtree Mining in Very Simple Structures
Latest Advances in Inductive Logic Programming, ILP 2011, Late Breaking Papers, Windsor Great Park, UK, July 31 - August 3, 2011
Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data
A Relational Approach to Tool-Use Learning in Robots