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ECML
2007
Springer
16 years 1 months ago
Decision Tree Instability and Active Learning
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...
Kenneth Dwyer, Robert Holte
KES
2004
Springer
16 years 5 days ago
A Hybrid Learning Approach for TV Program Personalization
The rapid growth of communication technologies and the invention of set-top-box (STB) and personal digital recorder (PDR) have enabled today’s television to receive and store tre...
Zhiwen Yu, Xingshe Zhou, Zhiyi Yang
ITS
2010
Springer
178views Multimedia» more  ITS 2010»
15 years 11 months ago
Learning by Teaching SimStudent
The purpose of the current study was to test whether we could create a system where students can learn by teaching a live machine-learning agent. SimStudent is a computer agent tha...
Noboru Matsuda, Victoria Keiser, Rohan Raizada, Ga...
HT
2007
ACM
15 years 10 months ago
Toward interactive learning by concept ordering
In this paper we present a visual education tool for efficient and effective learning. The toolkit is based on a simple premise: simple concepts should be learned before advanced ...
Shantanu Godbole, Sachindra Joshi, Sameep Mehta, G...
ALT
2003
Springer
15 years 10 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