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» Agnostic active learning
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83
Voted
ALT
2006
Springer
15 years 6 months ago
Active Learning in the Non-realizable Case
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
Matti Kääriäinen
72
Voted
CCS
2010
ACM
14 years 10 months ago
PinDr0p: using single-ended audio features to determine call provenance
The recent diversification of telephony infrastructure allows users to communicate through landlines, mobile phones and VoIP phones. However, call metadata such as Caller-ID is ei...
Vijay A. Balasubramaniyan, Aamir Poonawalla, Musta...
80
Voted
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
15 years 3 months ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
WSC
1998
14 years 11 months ago
Using Cooperative Learning to Activate Your Simulation Classroom
Active and cooperative learning methods represent a paradigm shift in the delivery of engineering education. These techniques recognize that the passive model of the typical colle...
Manuel D. Rossetti, Harriet Black Nembhard
ICALT
2007
IEEE
15 years 4 months ago
Designing Innovative Learning Activities Using Ubiquitous Computing
In this paper we present our pedagogical and technological approach for supporting the design of novel situated learning activities that can be conducted both, outside the school ...
Arianit Kurti, Marcelo Milrad, Daniel Spikol