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JMLR
2010
82views more  JMLR 2010»
13 years 2 months ago
Negative Results for Active Learning with Convex Losses
We study the problem of active learning with convex loss functions. We prove that even under bounded noise constraints, the minimax rates for proper active learning are often no b...
Steve Hanneke, Liu Yang
DATE
2009
IEEE
131views Hardware» more  DATE 2009»
14 years 2 months ago
An event-guided approach to reducing voltage noise in processors
Abstract—Supply voltage fluctuations that result from inductive noise are increasingly troublesome in modern microprocessors. A voltage “emergency”, i.e., a swing beyond tol...
Meeta Sharma Gupta, Vijay Janapa Reddi, Glenn H. H...
DATAMINE
2006
117views more  DATAMINE 2006»
13 years 7 months ago
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
Laura Maruster, A. J. M. M. Weijters, Wil M. P. va...
COLT
1991
Springer
13 years 11 months ago
Learning Probabilistic Read-Once Formulas on Product Distributions
Abstract. This paper presents a polynomial-time algorithm for inferring a probabilistic generalization of the class of read-once Boolean formulas over the usual basis {AND,OR,NOT}....
Robert E. Schapire
TASLP
2008
131views more  TASLP 2008»
13 years 7 months ago
A Noise-Robust FFT-Based Auditory Spectrum With Application in Audio Classification
In this paper, we investigate the noise robustness of Wang and Shamma's early auditory (EA) model for the calculation of an auditory spectrum in audio classification applicati...
Wei Chu, B. Champagne