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93
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IJHIS
2008
84views more  IJHIS 2008»
15 years 1 months ago
Selective generation of training examples in active meta-learning
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
212
Voted
C5
2010
IEEE
15 years 3 days ago
Activity-Aware Chat System Based on a Study of Distributed Collaborative Learning
— This paper presents a study of the learning process in a distance collaborative learning environment with a chat system and a Wiki, and development of a new chat system based o...
Tomoo Inoue
99
Voted
ICALT
2003
IEEE
15 years 6 months ago
Exploratory + Collaborative Learning in Programming: A Framework for the Design of Learning Activities
In this paper, we propose a framework for the design of learning activities, which follows the key idea of the “Learning-for-Use” model and adopts characteristics from the exp...
Agoritsa Gogoulou, Evangelia Gouli, Maria Grigoria...
97
Voted
CIKM
2008
Springer
15 years 3 months ago
Proactive learning: cost-sensitive active learning with multiple imperfect oracles
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...
Pinar Donmez, Jaime G. Carbonell
144
Voted
ICML
1998
IEEE
16 years 1 months ago
Employing EM and Pool-Based Active Learning for Text Classification
This paper shows how a text classifier's need for labeled training documents can be reduced by taking advantage of a large pool of unlabeled documents. We modify the Query-by...
Andrew McCallum, Kamal Nigam