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» A general agnostic active learning algorithm
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115
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SIGCOMM
2010
ACM
15 years 2 months ago
EyePhone: activating mobile phones with your eyes
As smartphones evolve researchers are studying new techniques to ease the human-mobile interaction. We propose EyePhone, a novel "hand-free" interfacing system capable o...
Emiliano Miluzzo, Tianyu Wang, Andrew T. Campbell
181
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KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 5 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
145
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COLT
2010
Springer
15 years 17 days ago
Robust Selective Sampling from Single and Multiple Teachers
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
Ofer Dekel, Claudio Gentile, Karthik Sridharan
105
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UAI
2004
15 years 3 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
SIGIR
2005
ACM
15 years 8 months ago
Active feedback in ad hoc information retrieval
Information retrieval is, in general, an iterative search process, in which the user often has several interactions with a retrieval system for an information need. The retrieval ...
Xuehua Shen, ChengXiang Zhai