UAI
2001
13 years 5 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
13 years 5 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
13 years 8 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
13 years 8 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
13 years 9 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
13 years 10 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
13 years 10 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
13 years 10 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
13 years 11 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
13 years 11 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...