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» Extreme logistic regression
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ICML
2005
IEEE
16 years 6 months ago
Large margin non-linear embedding
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...
Alexander Zien, Joaquin Quiñonero Candela
SIGIR
2006
ACM
15 years 12 months ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
Ben Carterette, Desislava Petkova
CEAS
2005
Springer
15 years 11 months ago
Reply Expectation Prediction for Email Management
We reduce email overload by addressing the problem of waiting for a reply to one’s email. We predict whether sent and received emails necessitate a reply, enabling the user to b...
Mark Dredze, John Blitzer, Fernando Pereira
SIGDIAL
2010
15 years 3 months ago
Detection of time-pressure induced stress in speech via acoustic indicators
We use automatically extracted acoustic features to detect speech which is generated under stress, achieving 76.24% accuracy with a binary logistic regression. Our data are task-o...
Matthew Frampton, Sandeep Sripada, Ricardo Augusto...
ML
2006
ACM
163views Machine Learning» more  ML 2006»
15 years 5 months ago
Extremely randomized trees
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
Pierre Geurts, Damien Ernst, Louis Wehenkel