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» Learning By Observation Using Qualitative Spatial Relations
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APGV
2006
ACM
140views Visualization» more  APGV 2006»
14 years 1 months ago
Large displays enhance spatial knowledge of a virtual environment
Previous research has found performance for several egocentric tasks to be superior on physically large displays relative to smaller ones, even when visual angle is held constant....
Jonathan Z. Bakdash, Jason S. Augustyn, Dennis Pro...
ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
14 years 1 months ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen
BMCBI
2008
179views more  BMCBI 2008»
13 years 7 months ago
Bayesian modeling of recombination events in bacterial populations
Background: We consider the discovery of recombinant segments jointly with their origins within multilocus DNA sequences from bacteria representing heterogeneous populations of fa...
Pekka Marttinen, Adam Baldwin, William P. Hanage, ...
AIED
2009
Springer
14 years 2 months ago
I learn from you, you learn from me: How to make iList learn from students
We developed a new model for iList, our system that helps students learn linked list. The model is automatically extracted from past student data, and allows iList to track student...
Davide Fossati, Barbara Di Eugenio, Stellan Ohlsso...
LREC
2010
131views Education» more  LREC 2010»
13 years 9 months ago
A Semi-supervised Type-based Classification of Adjectives: Distinguishing Properties and Relations
We present a semi-supervised machine-learning approach for the classification of adjectives into property- vs. relationdenoting adjectives, a distinction that is highly relevant f...
Matthias Hartung, Anette Frank