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» Using Machine Learning Techniques for Stylometry
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ICASSP
2011
IEEE
14 years 5 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
IADIS
2004
15 years 2 months ago
Relevance feedback using semantic association between indexing terms in large free text corpuses
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
Shahzad Khan, Kenan Azam
ICML
2010
IEEE
15 years 2 months ago
Projection Penalties: Dimension Reduction without Loss
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Yi Zhang 0010, Jeff Schneider
ITNG
2006
IEEE
15 years 7 months ago
Biomedical Term Disambiguation: An Application to Gene-Protein Name Disambiguation
The huge volumes of biomedical texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information. ...
Hisham Al-Mubaid, Ping Chen
CCS
2005
ACM
15 years 7 months ago
Keyboard acoustic emanations revisited
We examine the problem of keyboard acoustic emanations. We present a novel attack taking as input a 10-minute sound recording of a user typing English text using a keyboard, and t...
Li Zhuang, Feng Zhou, J. D. Tygar