Publication

Titel	Author	Year	Type
A New Model for Inductive Inference	R. L. Rivest and R. SLoan	1988	Inproceedings
Characterization of unsupervised clusters with the simplest association rules: application for child's meningitis	Robardet, Céline and Crémilleux, Bruno and Boulcaut, Jean-Fran{ç}ois	2002	Inproceedings
A Hybrid Approach to Feature Selection and Generation Using an Evolutionary Algorithm	Ritthoff, Oliver and Klinkenberg, Ralf and Fischer, Simon and Mierswa, Ingo	2002	Inproceedings
{Yale}: {Y}et {A}nother {M}achine {L}earning {E}nvironment	Ritthoff, Oliver and Klinkenberg, Ralf and Fischer, Simon and Mierswa, Ingo and Felske, Sven	2001	Inproceedings
Evolutionary Feature Space Transformation using Type-Restricted Generators	Ritthoff, Oliver and Klinkenberg, Ralf	2003	Inproceedings
The Problem of Intelligent Example Selection	Edwina L. Rissland	October 1987	Inproceedings
{L}ittle {W}ords {C}an {M}ake a {B}ig {D}ifference for {T}ext {C}lassification	Riloff, Ellen	1997	Inproceedings
A Corpus-Based Approach to Domain-Specific Text Summarisation: A Proposal	Ellen Riloff	1993	Inproceedings
Diagnosis of Communicating Systems: Dealing with Incompleteness and Uncertainty	Marc Riese	1993	Inproceedings
Restructuring Chain {D}atalog Programs	Rieger, Anke	1996	Inproceedings
A Data Preparation Tool for Relational Inductive Learning in Robotics	A. Rieger	1996	Inproceedings
{MP}: {A}n efficient method for calculating the minimum {H}erbrand model of chain {D}atalog programs	Rieger, Anke	1996	Inproceedings
Learning to guide a robot via perceptions	Anke Rieger	1996	Inproceedings
{MP}: {A}n efficent method for calculating the minimum {H}erbrand model of chain {D}atalog programs	A. Rieger	1996	Inproceedings
Inferring Probabilistic Automata from Sensor Data for Robot Navigation	A. Rieger	1995	Inproceedings
Data Preparation for Inductive Learning in Robotics	A. Rieger	1995	Inproceedings
Tri-aural versus Conventional Sonar Localisation and Map Building	W.D. Rencken and H Peremans and M. Möller	1995	Inproceedings
More Robust Concept Learning Using Dynamically Variable Bias	Larry Rendell and Raj Seshu and David Tcheng	June 1987	Inproceedings
{A} {F}ull-{T}ext {R}etrieval {A}pproach to {C}ontent-{B}ased {A}udio {I}dentification	Ribbrock, A. and Kurth, F.	2002	Inproceedings
Improving the Effectiveness of the Knowledge Discovery Process by Detecting Higher-Order Correleations between Data	M. Richeldi	1994	Inproceedings
Improving the Design of Induction Methods by Analyzing Algorithm Functionality and Data--Based Concept Complexity	Larry Rendell and Harish Ragavan	1993	Inproceedings
Substantial Constructive Induction Using Layered Information Compression: Tractable Feature Formation in Search	Larry Rendell	1985	Inproceedings
State Space Algorithms for Searching Game Trees	A. Reinefeld	1986	Inproceedings
On Interacting Defaults	Reiter, Raymond and Criscuolo, Giovanni	1981	Inproceedings
Optimizing the Costs and Benefits of Natural Language Generation	Ehud Reiter and Chris Mellish	1993	Inproceedings
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