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NIPS
2007
13 years 11 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
NIPS
2003
13 years 11 months ago
Online Passive-Aggressive Algorithms
We present a family of margin based online learning algorithms for various prediction tasks. In particular we derive and analyze algorithms for binary and multiclass categorizatio...
Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yor...
EOR
2006
86views more  EOR 2006»
13 years 10 months ago
Minimum-distance controlled perturbation methods for large-scale tabular data protection
National Statistical Agencies routinely release large amounts of tabular information. Prior to dissemination, tabular data needs to be processed to avoid the disclosure of individ...
Jordi Castro
SIGECOM
2008
ACM
141views ECommerce» more  SIGECOM 2008»
13 years 10 months ago
On the communication requirements of verifying the VCG outcome
We consider the amount of communication required to verify the outcome of the Vickrey-Clarke-Groves (VCG) mechanism: an efficient allocation together with incentivizing VCG paymen...
Sébastien Lahaie, David C. Parkes
TROB
2008
108views more  TROB 2008»
13 years 10 months ago
On the Synthesis of Haptic Textures
Advanced, synthetic haptic virtual environments require textured virtual surfaces. We found that texturing smooth surfaces often reduces the system passivity margin of a haptic sim...
Gianni Campion, Vincent Hayward