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Inductive Logic Programming: 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings

1, 2001

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Machine Learning: ECML-98: 10th European Conference on Machine Learning Chemnitz, Germany, April 21–23, 1998 Proceedings

1998

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Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast

Proceedings of the National Academy of Sciences - PNAS, 2019-09, Vol.116 (36), p.18142-18147

2019

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Introduction to the special issue on dynamic networks and knowledge discovery

Machine learning, 2017-08, Vol.106 (8), p.1131-1132

2017

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LICORN: learning cooperative regulation networks from gene expression data

Bioinformatics, 2007-09, Vol.23 (18), p.2407-2414

2007

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VAMP: Visualization and analysis of array-CGH, transcriptome and other molecular profiles

Bioinformatics, 2006-09, Vol.22 (17), p.2066-2073

2006

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The Game of Bridge: A Challenge for ILP

Inductive Logic Programming, 2018, Vol.11105, p.72-87

2018

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Naive (Bayes) at forty: The independence assumption in information retrieval

Lecture notes in computer science, 2005, Vol.1398, p.4-15

2005

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Incremental Learning of Relational Action Models in Noisy Environments

Inductive Logic Programming, p.206-213

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Supervised Machine Learning Applied to Link Prediction in Bipartite Social Networks

2010 International Conference on Advances in Social Networks Analysis and Mining, 2010, p.326-330

2010

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Resource-bounded Relational Reasoning: Induction and Deduction Through Stochastic Matching

Machine learning, 2000-01, Vol.38 (1-2), p.41-62

2000

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Transformation-Based Learning Using Multirelational Aggregation

Inductive Logic Programming, 2001, Vol.2157, p.142-155

2001

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Extension of the Top-Down Data-Driven Strategy to ILP

Inductive Logic Programming, p.49-63

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A Knowledge-Driven Bi-clustering Method for Mining Noisy Datasets

Neural Information Processing, p.585-593

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Pruning decision trees with misclassification costs

Lecture notes in computer science, 2005, p.131-136

2005

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Collaborative Decision in Multi-Agent Learning of Action Models

2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), 2016, p.640-647

2016

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Towards Combining Inductive Logic Programming with Bayesian Networks

Inductive Logic Programming, 2001, Vol.2157, p.118-131

2001

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Towards a semi-automatic functional annotation tool based on decision-tree techniques

BMC proceedings, 2008-12, Vol.2 Suppl 4 (S4), p.S3-S3, Article S3

2008

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A consistency based approach of action model learning in a community of agents

Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems, 2014, p.1557-1558

2014

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Improved pairwise coupling classification with correcting classifiers

Lecture notes in computer science, 2005, p.160-171

2005

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From Shell Logs to Shell Scripts

Inductive Logic Programming, 2001, Vol.2157, p.80-90

2001

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A Genetic Algorithm for Propositionalization

Inductive Logic Programming, 2001, Vol.2157, p.27-40

2001

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A supervised machine learning link prediction approach for academic collaboration recommendation

Proceedings of the fourth ACM conference on Recommender systems, 2010, p.253-256

2010

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Feature subset selection in text-learning

Lecture notes in computer science, 2005, p.95-100

2005

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Adaptive Bayesian Logic Programs

Inductive Logic Programming, 2001, Vol.2157, p.104-117

2001

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Inductive Logic Programming: 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings

Machine Learning: ECML-98: 10th European Conference on Machine Learning Chemnitz, Germany, April 21–23, 1998 Proceedings

Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast

Introduction to the special issue on dynamic networks and knowledge discovery

LICORN: learning cooperative regulation networks from gene expression data

VAMP: Visualization and analysis of array-CGH, transcriptome and other molecular profiles

The Game of Bridge: A Challenge for ILP

Naive (Bayes) at forty: The independence assumption in information retrieval

Incremental Learning of Relational Action Models in Noisy Environments

Supervised Machine Learning Applied to Link Prediction in Bipartite Social Networks

Resource-bounded Relational Reasoning: Induction and Deduction Through Stochastic Matching

Transformation-Based Learning Using Multirelational Aggregation

Extension of the Top-Down Data-Driven Strategy to ILP

A Knowledge-Driven Bi-clustering Method for Mining Noisy Datasets

Pruning decision trees with misclassification costs

Collaborative Decision in Multi-Agent Learning of Action Models

Towards Combining Inductive Logic Programming with Bayesian Networks

Towards a semi-automatic functional annotation tool based on decision-tree techniques

A consistency based approach of action model learning in a community of agents

Improved pairwise coupling classification with correcting classifiers

From Shell Logs to Shell Scripts

A Genetic Algorithm for Propositionalization

A supervised machine learning link prediction approach for academic collaboration recommendation

Feature subset selection in text-learning

Adaptive Bayesian Logic Programs

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