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IQ
2007
15 years 8 months ago
Simulations Of Error Propagation For Prioritizing Data Accuracy Improvement Efforts
: Models of the association between input accuracy and output accuracy imply that, for any given application, the effect of input errors on the output error rate generally varies i...
Irit Askira Gelman
NIPS
2008
15 years 8 months ago
Improved Moves for Truncated Convex Models
We consider the problem of obtaining the approximate maximum a posteriori estimate of a discrete random field characterized by pairwise potentials that form a truncated convex mod...
M. Pawan Kumar, Philip H. S. Torr
176
Voted
SDM
2008
SIAM
134views Data Mining» more  SDM 2008»
15 years 8 months ago
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 8 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
MMNS
2007
124views Multimedia» more  MMNS 2007»
15 years 8 months ago
Empirical Effective Bandwidth Estimation for IPTV Admission Control
We propose an admission control approach for IPTV in which decisions to admit new flows are based on effective bandwidth estimates calculated using empirical traffic measurement. W...
Alan Davy, Dmitri Botvich, Brendan Jennings