Word embeddings-based transfer learning for boosted relational dependency networks.
|
MLJ |
2024 |
0 |
Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning.
|
ILP |
2023 |
0 |
Sentiment analysis in tweets: an assessment study from classical to modern word representation models.
|
DMKD |
2023 |
0 |
Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains.
|
ILP |
2022 |
0 |
Screening for Depressed Individuals by Using Multimodal Social Media Data.
|
AAAI |
2021 |
1 |
Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm.
|
ILP |
2021 |
2 |
Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity.
|
ILP |
2021 |
2 |
Transfer learning by mapping and revising boosted relational dependency networks.
|
MLJ |
2020 |
0 |
Online probabilistic theory revision from examples with ProPPR.
|
MLJ |
2019 |
6 |
Lightweight Neural Programming: The GRPU.
|
ICANN |
2018 |
0 |
Towards Safer (Smart) Cities: Discovering Urban Crime Patterns Using Logic-based Relational Machine Learning.
|
IJCNN |
2018 |
6 |
On the use of stochastic local search techniques to revise first-order logic theories from examples.
|
MLJ |
2017 |
8 |
Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples.
|
ILP |
2009 |
17 |
Using the bottom clause and mode declarations in FOL theory revision from examples.
|
MLJ |
2009 |
13 |
Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples.
|
ILP |
2008 |
18 |
Revising First-Order Logic Theories from Examples Through Stochastic Local Search.
|
ILP |
2007 |
11 |
ILP Through Propositionalization and Stochastic k-Term DNF Learning.
|
ILP |
2006 |
0 |
Probabilistic First-Order Theory Revision from Examples.
|
ILP |
2005 |
19 |