UAI
2001
14 years 1 months ago
2001
We present a new method for estimating the expected return of a POMDP from experience. The estimator does not assume any knowledge of the POMDP, can estimate the returns for finit...
CLIN
2003
14 years 1 months ago
2003
A statistical estimator attempts to guess an unknown probability distribution by analyzing a sample from this distribution. One desirable property of an estimator is that its gues...
VLDB
1995
ACM
14 years 4 months ago
1995
ACM
We provide several new sampling-based estimators of the number of distinct values of an attribute in a relation. We compare these new estimators to estimators from the database an...
AICT
2006
IEEE
14 years 4 months ago
2006
IEEE
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
FOCS
2003
IEEE
14 years 5 months ago
2003
IEEE
While deciphering the Enigma Code during World War II, I.J. Good and A.M. Turing considered the problem of estimating a probability distribution from a sample of data. They derive...
HYBRID
2005
Springer
14 years 6 months ago
2005
Springer
In this paper, a cascade discrete-continuous state estimator on a partial order is proposed and its existence investigated. The continuous state estimation error is bounded by a mo...
HICSS
2006
IEEE
14 years 6 months ago
2006
IEEE
— We suggest a statistical estimator to measure the extent to which failures propagate in cascading failures such as large blackouts. The estimator is tested on a saturating bran...
ICC
2007
IEEE
14 years 6 months ago
2007
IEEE
—We present two Maximum Likelihood (ML) based estimators for Non-Data-Aided (NDA) symbol timing recovery in MIMO systems. These estimators are based on the classical Unconditiona...
CDC
2008
IEEE
14 years 7 months ago
2008
IEEE
— Many decision systems rely on a precisely known Markov Chain model to guarantee optimal performance, and this paper considers the online estimation of unknown, nonstationary Ma...
ICASSP
2009
IEEE
14 years 7 months ago
2009
IEEE
We address covariance estimation under mean-squared loss in the Gaussian setting. Specifically, we consider shrinkage methods which are suitable for high dimensional problems wit...