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EMNLP
2008
15 years 6 months ago
An Analysis of Active Learning Strategies for Sequence Labeling Tasks
Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed ...
Burr Settles, Mark Craven
ECIS
2004
15 years 6 months ago
To play, or not to play: building a learning environment through computer simulations
This article analyzes the impact of a computer simulation (business game) on the users' perceived learning. The theoretical model developed in this paper is derived from the ...
Luigi Proserpio, Magni Magni
145
Voted
RAS
2007
94views more  RAS 2007»
15 years 4 months ago
Multi-method learning and assimilation
Considering the wide range of possible behaviors to be acquired for domestic robots, applying a single learning method is clearly insufficient. In this paper, we propose a new str...
Shinya Takamuku, Ronald C. Arkin
JAIR
2000
102views more  JAIR 2000»
15 years 4 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
154
Voted
SEMWEB
2009
Springer
15 years 11 months ago
TripleRank: Ranking Semantic Web Data by Tensor Decomposition
Abstract. The Semantic Web fosters novel applications targeting a more efficient and satisfying exploitation of the data available on the web, e.g. faceted browsing of linked open...
Thomas Franz, Antje Schultz, Sergej Sizov, Steffen...