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ECML
2001
Springer
15 years 11 months ago
Classification on Data with Biased Class Distribution
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
Slobodan Vucetic, Zoran Obradovic
AAAI
2008
15 years 8 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
AAAI
1994
15 years 7 months ago
Emergent Linguistic Rules from inducing Decision Trees: Disambiguating Discourse Clue Words
We apply decision tree induction to the problem of discourse clue word sense disambiguation. The automatic partitioning of the training set which is intrinsic to decision tree ind...
Eric V. Siegel, Kathleen McKeown
MVA
1996
15 years 7 months ago
Inductive Learning of Primitive Shape Features of Closed Contours
A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...
Ichiro Murase, Shun'ichi Kaneko, Satoru Igarashi
FSS
2002
68views more  FSS 2002»
15 years 6 months ago
Unsupervised feature extraction using neuro-fuzzy approach
The present article demonstrates a way of formulating a neuro-fuzzy approach for feature extraction under unsupervised training. A fuzzy feature evaluation index for a set of feat...
Rajat K. De, Jayanta Basak, Sankar K. Pal