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IOR
2011
107views more  IOR 2011»
13 years 2 months ago
Information Collection on a Graph
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...
Ilya O. Ryzhov, Warren B. Powell
EDM
2009
106views Data Mining» more  EDM 2009»
13 years 5 months ago
Consistency of Students' Pace in Online Learning
The purpose of this study is to investigate the consistency of students' behavior regarding their pace of actions over sessions within an online course. Pace in a session is d...
Arnon Hershkovitz, Rafi Nachmias
CORR
2010
Springer
188views Education» more  CORR 2010»
13 years 7 months ago
A physically-based particle model of emergent crowd behaviors
This paper presents a modeling process in order to produce a realistic simulation of crowds in the ancient Greek agora of Argos. This place was a social theater in which two kinds...
Laure Heïgéas, Annie Luciani, Joë...
COLT
1993
Springer
13 years 11 months ago
Learning from a Population of Hypotheses
We introduce a new formal model in which a learning algorithm must combine a collection of potentially poor but statistically independent hypothesis functions in order to approxima...
Michael J. Kearns, H. Sebastian Seung
ICASSP
2009
IEEE
14 years 2 months ago
Using collective information in semi-supervised learning for speech recognition
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...