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IJMMS
2008
86views more  IJMMS 2008»
15 years 6 months ago
An empirical examination of factors contributing to the creation of successful e-learning environments
Although existing models of e-learning effectiveness in information systems (IS) have increased our understanding of how technology can support and enhance learning, most of our m...
Richard D. Johnson, Steven Hornik, Eduardo Salas
ACL
1994
15 years 7 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
ECTEL
2006
Springer
15 years 10 months ago
Getting to Know Your Student in Distance Learning Contexts
Abstract. Good teachers know their students, and exploit this knowledge to adapt or optimise their instruction. Teachers know their students because they interact with them face-to...
Claus Zinn, Oliver Scheuer
CVPR
2008
IEEE
16 years 8 months ago
Max Margin AND/OR Graph learning for parsing the human body
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
15 years 8 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...