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» Learning Models for Predicting Recognition Performance
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UM
2007
Springer
15 years 9 months ago
Identifiability: A Fundamental Problem of Student Modeling
In this paper we show how model identifiability is an issue for student modeling: observed student performance corresponds to an infinite family of possible model parameter estimat...
Joseph E. Beck, Kai-min Chang
WWW
2010
ACM
15 years 10 months ago
Actively predicting diverse search intent from user browsing behaviors
This paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. H...
Zhicong Cheng, Bin Gao, Tie-Yan Liu
116
Voted
ICML
2000
IEEE
16 years 4 months ago
Behavioral Cloning of Student Pilots with Modular Neural Networks
This paper investigates how behavioral cloning can be used to decrease training time for students learning to y on simulators. The challenges presented to each student must be tai...
Charles W. Anderson, Bruce A. Draper, David A. Pet...
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 3 months ago
Multi-focal learning and its application to customer service support
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo...
IJCV
2008
192views more  IJCV 2008»
15 years 3 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...