Learning qualitative models from numerical data

Authors:
Jure abkar;Martin Moina;Ivan Bratko;Janez Demšar
Affiliations:
Faculty of Computer and Information Science, University of Ljubljana, Traška 25, 1000 Ljubljana, Slovenia;Faculty of Computer and Information Science, University of Ljubljana, Traška 25, 1000 Ljubljana, Slovenia;Faculty of Computer and Information Science, University of Ljubljana, Traška 25, 1000 Ljubljana, Slovenia;Faculty of Computer and Information Science, University of Ljubljana, Traška 25, 1000 Ljubljana, Slovenia
Venue:
Artificial Intelligence
Year:
2011

Citing 19
Cited 2

A qualitative physics based on confluences

Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Qualitative process theory

Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Qualitative simulation

Artificial Intelligence
KARDIO: a study in deep and qualitative knowledge for expert systems

KARDIO: a study in deep and qualitative knowledge for expert systems
Qualitative analysis of system behaviour

Qualitative analysis of system behaviour
Qualitative system identification: deriving structure from behavior

Artificial Intelligence
Learning Qualitative Models of Dynamic Systems

Machine Learning - special issue on inductive logic programming
Locally Weighted Learning

Artificial Intelligence Review - Special issue on lazy learning
Semi-quantitative system identification

Artificial Intelligence
The Mathematical Bases for Qualitative Reasoning

IEEE Expert: Intelligent Systems and Their Applications
Induction of Qualitative Trees

EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Discovering the Structure of Partial Differential Equations from Example Behaviour

ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Learning qualitative models

AI Magazine
Qualitatively faithful quantitative prediction

Artificial Intelligence
Orange: from experimental machine learning to interactive data mining

PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Qualitative system identification from imperfect data

Journal of Artificial Intelligence Research
Qualitative model evolution

IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Automatic abduction of qualitative models

AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
An immune-inspired approach to qualitative system identification of biological pathways

Natural Computing: an international journal

Improving vehicle aeroacoustics using machine learning

Engineering Applications of Artificial Intelligence
Learning qualitative models from numerical data: extended abstract

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Qualitative models describe relations between the observed quantities in qualitative terms. In predictive modelling, a qualitative model tells whether the output increases or decreases with the input. We describe Pade, a new method for qualitative learning which estimates partial derivatives of the target function from training data and uses them to induce qualitative models of the target function. We formulated three methods for computation of derivatives, all based on using linear regression on local neighbourhoods. The methods were empirically tested on artificial and real-world data. We also provide a case study which shows how the developed methods can be used in practice.