This repo contains my undergraduate thesis work where I tried to combine ILP with MaxEnt.
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Updated
Nov 29, 2017
This repo contains my undergraduate thesis work where I tried to combine ILP with MaxEnt.
Graduate Level Functional Programming in Racket and Scheme
A largely incomplete but hopefully useful list of links to datasets for relational learning and inductive logic programming. No guarantees on availability.
Symbolic function approximator aims to generate a function using a genetic algorithm to approximate a data distribution using the symbolic paradigm with programming logic.
(Explainable AI) - Learning Non-Monotonic Logic Programs From Statistical Models Using High-Utility Itemset Mining
Top-down induction of first-order logical decision trees: master AI thesis implementation
Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断,神经逻辑,强人工智能逻辑推理前沿领域。
Source code related to the ILP 2019 paper 'LazyBum: Decision tree learning using lazy propositionalization'
Vertex-Enriched Graph Neural Network (VEGNN)
A grammar and linter for ILP datasets.
Metagol - an inductive logic programming system
Active Inductive Logic Programming for Code Search (ICSE 2019)
A MAS system for ethical monitoring and evaluation of dialog systems
Me and another student at Unibo developed a solution entirely written in Prolog to the game proposed in the following website: https://www.codingame.com/training/hard/vox-codei-episode-1. The report.pdf stands in for the README file.
C. Hocquette and A. Cropper, Learning programs with magic values.
Julia package for fetching and using srlearn-compatible relational datasets.
srlearn-compatible relational datasets
Python package for fetching and using srlearn-compatible relational datasets.
Symbolic Reinforcement Learning using Inductive Logic Programming
C. Hocquette and A. Cropper, Relational program synthesis with numerical reasoning, AAAI23.
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