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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 9 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
NIPS
2007
15 years 6 months ago
Multiple-Instance Active Learning
We present a framework for active learning in the multiple-instance (MI) setting. In an MI learning problem, instances are naturally organized into bags and it is the bags, instea...
Burr Settles, Mark Craven, Soumya Ray
129
Voted
ECIS
2003
15 years 6 months ago
Towards work-integrated learning communities
In this paper we raise the concept of Work-Integrated Learning (WIL) as a means of supporting activities of competence development and learning in organisations. In order to illus...
Ulrika Lundh Snis, Lars Svensson, Christian Ö...
NIPS
1997
15 years 6 months ago
Learning to Order Things
There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order, given feedback in the form of ...
William W. Cohen, Robert E. Schapire, Yoram Singer
132
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NLE
2008
140views more  NLE 2008»
15 years 5 months ago
Active learning and logarithmic opinion pools for HPSG parse selection
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
Jason Baldridge, Miles Osborne