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ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
13 years 4 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
NIPS
2000
13 years 7 months ago
Active Support Vector Machine Classification
An active set strategy is applied to the dual of a simple reformulation of the standard quadratic program of a linear support vector machine. This application generates a fast new...
Olvi L. Mangasarian, David R. Musicant
CHI
2009
ACM
14 years 1 months ago
O' game, can you feel my frustration?: improving user's gaming experience via stresscam
One of the major challenges of video game design is to have appropriate difficulty levels for users in order to maximize the entertainment value of the game. Game players may lose...
Chang Yun, Dvijesh Shastri, Ioannis Pavlidis, Zhig...
ICML
2006
IEEE
14 years 7 months ago
Agnostic active learning
We state and analyze the first active learning algorithm which works in the presence of arbitrary forms of noise. The algorithm, A2 (for Agnostic Active), relies only upon the ass...
Maria-Florina Balcan, Alina Beygelzimer, John Lang...
CORR
2010
Springer
76views Education» more  CORR 2010»
13 years 6 months ago
Query Strategies for Evading Convex-Inducing Classifiers
Classifiers are often used to detect miscreant activities. We study how an adversary can systematically query a classifier to elicit information that allows the adversary to evade...
Blaine Nelson, Benjamin I. P. Rubinstein, Ling Hua...