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» Feature selection methods for text classification
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ICML
2007
IEEE
15 years 11 months ago
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stocha...
Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro
CHI
2008
ACM
15 years 11 months ago
Memorability of persuasive passwords
Text passwords are the primary authentication method used for most online services. Many online users select weak passwords. Regrettably, most proposed methods of strengthening pa...
Alain Forget, Robert Biddle
SIGIR
2008
ACM
14 years 10 months ago
Exploiting subjectivity analysis in blogs to improve political leaning categorization
In this paper, we address a relatively new and interesting text categorization problem: classify a political blog as either liberal or conservative, based on its political leaning...
Maojin Jiang, Shlomo Argamon
ICML
2004
IEEE
15 years 11 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
CICLING
2010
Springer
15 years 2 months ago
ETL Ensembles for Chunking, NER and SRL
We present a new ensemble method that uses Entropy Guided Transformation Learning (ETL) as the base learner. The proposed approach, ETL Committee, combines the main ideas of Baggin...
Cícero Nogueira dos Santos, Ruy Luiz Milidi...