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AAAI
2011
13 years 9 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...
68
Voted
FOCS
2009
IEEE
15 years 4 months ago
Agnostic Learning of Monomials by Halfspaces Is Hard
— We prove the following strong hardness result for learning: Given a distribution on labeled examples from the hypercube such that there exists a monomial (or conjunction) consi...
Vitaly Feldman, Venkatesan Guruswami, Prasad Ragha...
SIGECOM
2010
ACM
147views ECommerce» more  SIGECOM 2010»
15 years 2 months ago
Socially desirable approximations for Dodgson's voting rule
In 1876 Charles Lutwidge Dodgson suggested the intriguing voting rule that today bears his name. Although Dodgson’s rule is one of the most well-studied voting rules, it suffers...
Ioannis Caragiannis, Christos Kaklamanis, Nikos Ka...
72
Voted
SIGIR
2010
ACM
15 years 1 months ago
Combining coregularization and consensus-based self-training for multilingual text categorization
We investigate the problem of learning document classifiers in a multilingual setting, from collections where labels are only partially available. We address this problem in the ...
Massih-Reza Amini, Cyril Goutte, Nicolas Usunier
AIR
2004
113views more  AIR 2004»
14 years 9 months ago
Class Noise vs. Attribute Noise: A Quantitative Study
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
Xingquan Zhu, Xindong Wu