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» Active learning with direct query construction
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KDD
2008
ACM
207views Data Mining» more  KDD 2008»
14 years 5 months ago
Active learning with direct query construction
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
Charles X. Ling, Jun Du
BDA
2007
13 years 6 months ago
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...
ICDM
2009
IEEE
130views Data Mining» more  ICDM 2009»
13 years 11 months ago
Active Learning with Generalized Queries
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
Jun Du, Charles X. Ling
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 2 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
ICEIS
2003
IEEE
13 years 10 months ago
Knowledge Construction in E-Learning - Designing an E-Learning Environment
: In the traditional classroom, students learned to depend on tutors for their motivation, direction, goal setting, progress monitoring, self-assessment, and achievement. A fundame...
Kecheng Liu, Shirley Williams, Lily Sun