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SIGIR
2012
ACM
13 years 7 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
ICCBR
2010
Springer
15 years 8 months ago
Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
AH
2008
Springer
15 years 11 months ago
Analysing High-Level Help-Seeking Behaviour in ITSs
Abstract. In this paper, we look at initial results of data mining students’ help-seeking behaviour in two ITSs: SQL-Tutor and EER-Tutor. We categorised help given by these tutor...
Moffat Mathews, Tanja Mitrovic, David Thomson
IADIS
2004
15 years 6 months ago
WASA: An Intelligent Agent for Web-Based Self-Assessment
WASA is an intelligent self-assessment agent of WADIES, a web-based learning environment which adapts its material to reflect the needs of the individual learner, whether it is fo...
Katerina Georgouli
130
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ECML
1993
Springer
15 years 8 months ago
Integrated Learning Architectures
Research in systems where learning is integrated to other components like problem solving, vision, or natural language is becoming an important topic for Machine Learning. Situatio...
Enric Plaza, Agnar Aamodt, Ashwin Ram, Walter Van ...