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PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 8 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud
HICSS
2006
IEEE
160views Biometrics» more  HICSS 2006»
14 years 4 months ago
Cyber Defense Competitions and Information Security Education: An Active Learning Solution for a Capstone Course
The content of information security curricula spans a wide array of topics. Because of this variety, a program needs to focus on some particular aspect and provide appropriate dep...
Art Conklin
FLAIRS
2000
13 years 11 months ago
Actively Supporting Collaboration in Virtual Learning Environments
Collaboration between peers is an important aspect of the learning process and can considerably augment learning in studying complex domains. To ensure that peer collaboration occ...
Adrian Gordon, Lynne E. Hall
CCS
2009
ACM
14 years 4 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
13 years 8 months ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims