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DMIN
2007
226views Data Mining» more  DMIN 2007»
13 years 10 months ago
Generative Oversampling for Mining Imbalanced Datasets
— One way to handle data mining problems where class prior probabilities and/or misclassification costs between classes are highly unequal is to resample the data until a new, d...
Alexander Liu, Joydeep Ghosh, Cheryl Martin
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 6 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
APWEB
2003
Springer
14 years 11 days ago
Mining "Hidden Phrase" Definitions from the Web
Keyword searching is the most common form of document search on the Web. Many Web publishers manually annotate the META tags and titles of their pages with frequently queried phras...
Hung V. Nguyen, P. Velamuru, Deepak Kolippakkam, H...
IJCNLP
2005
Springer
14 years 2 months ago
Inversion Transduction Grammar Constraints for Mining Parallel Sentences from Quasi-Comparable Corpora
Abstract. We present a new implication of Wu’s (1997) Inversion Transduction Grammar (ITG) Hypothesis, on the problem of retrieving truly parallel sentence translations from larg...
Dekai Wu, Pascale Fung
ECCV
2008
Springer
14 years 10 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden