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USS
2008
15 years 9 months ago
Experiences with Model Inference Assisted Fuzzing
In this paper we introduce the idea of model inference assisted fuzzing aimed to cost effectively improve software security. We experimented with several model inference technique...
Joachim Viide, Aki Helin, Marko Laakso, Pekka Piet...
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
15 years 9 months ago
Generating Diverse Ensembles to Counter the Problem of Class Imbalance
Abstract. One of the more challenging problems faced by the data mining community is that of imbalanced datasets. In imbalanced datasets one class (sometimes severely) outnumbers t...
T. Ryan Hoens, Nitesh V. Chawla
ACL
2008
15 years 8 months ago
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar
AIPS
2006
15 years 8 months ago
Reconfigurable Path Planning for an Autonomous Unmanned Aerial Vehicle
In this paper, we present a motion planning framework for a fully deployed autonomous unmanned aerial vehicle which integrates two sample-based motion planning techniques, Probabi...
Mariusz Wzorek, Patrick Doherty
DMIN
2006
138views Data Mining» more  DMIN 2006»
15 years 8 months ago
Quantification of a Privacy Preserving Data Mining Transformation
Data mining, with its promise to extract valuable, previously unknown and potentially useful patterns or knowledge from large data sets that contain private information is vulnerab...
Mohammed Ketel