8 papers:
ICML-2015-FilipponeE #linear #probability #process #scalability- Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) (MF, RE), pp. 1015–1024.
CIKM-2012-JiangSZ #effectiveness #ranking #towards- Towards an effective and unbiased ranking of scientific literature through mutual reinforcement (XJ, XS, HZ), pp. 714–723.
PODS-2011-CohenK #using- Get the most out of your sample: optimal unbiased estimators using partial information (EC, HK), pp. 13–24.
SIGMOD-2011-ZhangZD #corpus #estimation #mining #performance- Mining a search engine’s corpus: efficient yet unbiased sampling and aggregate estimation (MZ, NZ, GD), pp. 793–804.
KDD-2011-ChuZLTT #data type #learning #online- Unbiased online active learning in data streams (WC, MZ, LL, AT, BLT), pp. 195–203.
SIGMOD-2010-DasguptaJJZD #database #estimation #web- Unbiased estimation of size and other aggregates over hidden web databases (AD, XJ, BJ, NZ, GD), pp. 855–866.
SIGMOD-2005-ChoRA #quality #ranking #web- Page Quality: In Search of an Unbiased Web Ranking (JC, SR, RA), pp. 551–562.
ICPR-v2-2000-AlexandreCK #classification #independence #using- Combining Independent and Unbiased Classifiers Using Weighted Average (LAA, ACC, MSK), pp. 2495–2498.