Sciweavers

11428 search results - page 29 / 2286
» Learning From Crowds
Sort
View
120
Voted
AIED
2009
Springer
15 years 9 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...
GECCO
2004
Springer
15 years 8 months ago
On Multi-class Classification by Way of Niching
In recent literature, the niche enabling effects of crowding and the sharing algorithms have been systematically investigated in the context of Genetic Algorithms and are now estab...
Andrew R. McIntyre, Malcolm I. Heywood
115
Voted
IJCV
2010
217views more  IJCV 2010»
15 years 1 months ago
Volumetric Features for Video Event Detection
Real-world actions occur often in crowded, dynamic environments. This poses a difficult challenge for current approaches to video event detection because it is difficult to segm...
Yan Ke, Rahul Sukthankar, Martial Hebert
114
Voted
COLT
1995
Springer
15 years 6 months ago
From Noise-Free to Noise-Tolerant and from On-line to Batch Learning
Norbert Klasner, Hans-Ulrich Simon
101
Voted
IFIP
2005
Springer
15 years 8 months ago
Probable Innocence Revisited
In this paper we propose a formalization of probable innocence, a notion of probabilistic anonymity that is associated to “realistic” protocols such as Crowds. We analyze crit...
Konstantinos Chatzikokolakis, Catuscia Palamidessi