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AAAI
2010
15 years 1 months ago
Multi-Label Learning with Weak Label
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou
ICPPW
2006
IEEE
15 years 5 months ago
Robust Resource Allocation in Weather Data Processing Systems
Reliability of weather data processing systems is of prime importance to ensure the efficient operation of space-based weather monitoring systems. This work defines a heterogeneou...
Mohana Oltikar, Jeff Brateman, Joe White, Jon Mart...
FSKD
2007
Springer
98views Fuzzy Logic» more  FSKD 2007»
15 years 6 months ago
Learning Selective Averaged One-Dependence Estimators for Probability Estimation
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
Qing Wang, Chuan-hua Zhou, Jiankui Guo
CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
15 years 5 months ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman
SIAMDM
2002
124views more  SIAMDM 2002»
14 years 11 months ago
Scheduling Unrelated Machines by Randomized Rounding
We present a new class of randomized approximation algorithms for unrelated parallel machine scheduling problems with the average weighted completion time objective. The key idea i...
Andreas S. Schulz, Martin Skutella