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ECAI
2008
Springer
13 years 6 months ago
Active Concept Learning For Ontology Evolution
This paper proposes an approach that enables agents to teach each other concepts from their ontologies using examples. Unlike other concept learning approaches, our approach enable...
Murat Sensoy, Pinar Yolum
COLT
1995
Springer
13 years 8 months ago
Exactly Learning Automata with Small Cover Time
We present algorithms for exactly learning unknown environments that can be described by deterministic nite automata. The learner performs a walk on the target automaton, where at...
Dana Ron, Ronitt Rubinfeld
ALT
2003
Springer
13 years 8 months ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann
ITS
1992
Springer
152views Multimedia» more  ITS 1992»
13 years 8 months ago
People Power: A Human-Computer Collaborative Learning System
Abstract. This paper reports our research work in the new field of humancomputer collaborative learning (HCCL). The general architecture of an HCCL is defined. An HCCL system, call...
Pierre Dillenbourg, John A. Self
ITS
1998
Springer
95views Multimedia» more  ITS 1998»
13 years 8 months ago
Using Induction to Generate Feedback in Simulation Based Discovery Learning Environments
This paper describes a method for learner modelling for use within simulation-based learning environments. The goal of the learner modelling system is to provide the learner with a...
Koen Veermans, Wouter R. van Joolingen
PKDD
1999
Springer
90views Data Mining» more  PKDD 1999»
13 years 8 months ago
Learning from Highly Structured Data by Decomposition
This paper addresses the problem of learning from highly structured data. Speci cally, it describes a procedure, called decomposition, that allows a learner to access automatically...
René MacKinney-Romero, Christophe G. Giraud...
UM
2001
Springer
13 years 9 months ago
Applying Interactive Open Learner Models to Learning Technical Terminology
Our work explores an interactive open learner modelling (IOLM) approach where learner diagnosis is considered as an interactive process involving both a computer system and a learn...
Vania Dimitrova, John A. Self, Paul Brna
SAGA
2001
Springer
13 years 9 months ago
Stochastic Finite Learning
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
Thomas Zeugmann
ITS
2004
Springer
105views Multimedia» more  ITS 2004»
13 years 10 months ago
The Massive User Modelling System (MUMS)
Developing a learner model containing an accurate representation of a learner’s knowledge is made more difficult in distributed learning environments where the learner uses mult...
Christopher A. Brooks, Mike Winter, Jim E. Greer, ...
AH
2004
Springer
13 years 10 months ago
Swarm-Based Adaptation: Wayfinding Support for Lifelong Learners
This article introduces an approach to adaptive wayfinding support for lifelong learners based on self-organisation theory. It describes an architecture which supports the recordin...
Colin Tattersall, Bert van den Berg, René v...