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» Active Learning with Near Misses
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AAAI
2006
13 years 6 months ago
Active Learning with Near Misses
Assume that we are trying to build a visual recognizer for a particular class of objects--chairs, for example--using existing induction methods. Assume the assistance of a human t...
Nela Gurevich, Shaul Markovitch, Ehud Rivlin
CORR
2010
Springer
125views Education» more  CORR 2010»
13 years 4 months ago
Near-Optimal Bayesian Active Learning with Noisy Observations
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
Daniel Golovin, Andreas Krause, Debajyoti Ray
DELFI
2006
13 years 6 months ago
Mobile Learning is Coming of Age - What we have and what we still miss
: Mobile learning has left the status of a new born child. It is time now to implement some structure into the complex and various activities by a framework presented in this paper...
Dirk Frohberg
RECSYS
2009
ACM
13 years 11 months ago
Collaborative prediction and ranking with non-random missing data
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ï¬...
Benjamin M. Marlin, Richard S. Zemel
ECSCW
2007
13 years 6 months ago
What Did I Miss? Visualizing the Past through Video Traces
Always-on media spaces broadcast video between collaborators to provide mutual awareness and to encourage casual interaction. This video can be easily recorded on the fly as a vide...
Michael Nunes, Saul Greenberg, M. Sheelagh T. Carp...