Sciweavers

267 search results - page 15 / 54
» Employing classifying terms for testing model transformation...
Sort
View
EMNLP
2010
13 years 6 months ago
Negative Training Data Can be Harmful to Text Classification
This paper studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task. Tradit...
Xiaoli Li, Bing Liu, See-Kiong Ng
CCS
2010
ACM
13 years 7 months ago
TAPS: automatically preparing safe SQL queries
We present the first sound program transformation approach for automatically transforming the code of a legacy web application to employ PREPARE statements in place of unsafe SQL...
Prithvi Bisht, A. Prasad Sistla, V. N. Venkatakris...
ML
2010
ACM
138views Machine Learning» more  ML 2010»
13 years 3 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
AIR
2006
152views more  AIR 2006»
13 years 8 months ago
Machine learning: a review of classification and combining techniques
Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...
Sotiris B. Kotsiantis, Ioannis D. Zaharakis, Panay...
ICDAR
2009
IEEE
13 years 6 months ago
Clutter Noise Removal in Binary Document Images
The paper presents a clutter detection and removal algorithm for complex document images. The distance transform based approach is independent of clutter's position, size, sh...
Mudit Agrawal, David S. Doermann