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» Query Estimation by Adaptive Sampling
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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
15 years 10 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
ICC
2007
IEEE
155views Communications» more  ICC 2007»
15 years 3 months ago
Adaptive Joint Estimation of Symbol Timing and Carrier Frequency Offset for OFDM Systems
Abstract—Synchronization is an important issue in orthogonal frequency-division multiplexing (OFDM) systems including symbol timing and carrier frequency offset (CFO) estimation....
Huiming Wang, Qinye Yin, Yinkuo Meng, Ke Deng
NIPS
2000
14 years 10 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
COMPGEOM
2004
ACM
15 years 2 months ago
Deterministic sampling and range counting in geometric data streams
We present memory-efficient deterministic algorithms for constructing -nets and -approximations of streams of geometric data. Unlike probabilistic approaches, these deterministic...
Amitabha Bagchi, Amitabh Chaudhary, David Eppstein...
PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
15 years 4 months ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano