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ECAI
2006
Springer
13 years 8 months ago
Background Default Knowledge and Causality Ascriptions
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on background...
Jean-François Bonnefon, Rui Da Silva Neves,...
ECML
1998
Springer
13 years 8 months ago
Learning to Classify X-Ray Images Using Relational Learning
: Image understanding often requires extensive background knowledge. The problem addressed in this paper is such knowledge can be acquired. We discuss how relational machine learni...
Claude Sammut, Tatjana Zrimec
ECAI
1998
Springer
13 years 8 months ago
Integrating Abduction and Induction
In this paper we describe an approach for integrating abduction and induction in the ILP setting of learning from interpretations with the aim of solving the problem of incomplete...
Fabrizio Riguzzi
AIMSA
2000
Springer
13 years 8 months ago
Least Generalization under Relative Implication
Inductive Logic Programming (ILP) deals with inducing clausal theories from examples basically through generalization or specialization. The specialization and generalization oper...
Svetla Boytcheva
UM
2010
Springer
13 years 9 months ago
Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing
The field of intelligent tutoring systems has been using the well known knowledge tracing model, popularized by Corbett and Anderson (1995) to track individual users’ knowledge f...
Zachary A. Pardos, Neil T. Heffernan
IUI
2003
ACM
13 years 9 months ago
Supporting plan authoring and analysis
Interactive tools to help users author plans or processes are essential in a variety of domains. KANAL helps users author sound plans by simulating them, checking for a variety of...
Jihie Kim, Jim Blythe
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
13 years 9 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
13 years 9 months ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu
DIS
2005
Springer
13 years 9 months ago
Support Vector Inductive Logic Programming
Abstract. In this paper we explore a topic which is at the intersection of two areas of Machine Learning: namely Support Vector Machines (SVMs) and Inductive Logic Programming (ILP...
Stephen Muggleton, Huma Lodhi, Ata Amini, Michael ...
BIBE
2006
IEEE
137views Bioinformatics» more  BIBE 2006»
13 years 10 months ago
Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition
We show how chemical background knowledge can be used to improve the prediction performance in structureactivitity relationships (SARs) for non-congeneric compounds. The goal of t...
Lothar Richter, Stefan Hechtl, Stefan Kramer