Results 281 to 290 of about 2,375,094 (333)

Bolstered error estimation

Pattern Recognition, 2004
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Ulisses Braga-Neto, Edward Dougherty
exaly   +3 more sources

A-posteriori estimation of the error in the error estimate

Computer Methods in Applied Mechanics and Engineering, 1998
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Strouboulis, T., Babuška, I., Gangaraj, S. K., Copps, K., Datta, D. K.   +4 more
openaire   +1 more source

Estimation of Classification Error

IEEE Transactions on Computers, 1970
This paper discusses methods of estimating the probability of error for the Bayes' classifier which must be designed and tested with a finite number of classified samples. The expected difference between estimates is discussed. A simplifled algorithm to compute the leaving-one-out method is proposed for multivariate normal distributions wtih unequal co-
Keinosuke Fukunaga, David L. Kessell
openaire   +1 more source

An Error Estimate for CVA

Key Engineering Materials, 2001
The Canonical Variate Analysis has been applied in many circumstances as a powerful dynamic identification tool. Its capability of overcoming the high modal density matter is also improved by implemented special tools such as Probability Density Function and Modal Assurance Criterion stabilisation, making the CVA technique very reliable to monitor ...
FASANA, ALESSANDRO, GARIBALDI, Luigi, MARCHESIELLO, STEFANO, S. SORRENTINO   +3 more
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Bootstrap Techniques for Error Estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987
The design of a pattern recognition system requires careful attention to error estimation. The error rate is the most important descriptor of a classifier's performance. The commonly used estimates of error rate are based on the holdout method, the resubstitution method, and the leave-one-out method.
Anil K. Jain 0001, Richard C. Dubes, Chaur-Chin Chen   +2 more
openaire   +3 more sources

Error Estimation for Nordsieck Methods

Numerical Algorithms, 2002
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John C. Butcher, Zdzislaw Jackiewicz
openaire   +2 more sources

On the estimation of probability of error

1974 IEEE Conference on Decision and Control including the 13th Symposium on Adaptive Processes, 1974
This paper considers the problem of estimation of classification error in Pattern Recognition. A Theorem is presented to obtain the changes in the eigenvalues and eigenvectors of matrices of the form S2 -1 S1, when there are changes of first order of smallness in the real Symmetric matrices Si, i=1, 2.
openaire   +2 more sources

Channel and capacity estimation errors

IEEE Communications Letters, 2002
Systems with multiple element transmitter and receiver arrays have been shown to achieve very high spectral efficiencies. The theoretically achievable Shannon capacity is a function of the channel between the transmitters and the receivers. On the simulation level, one assumes certain statistical characteristics for the channel, but on a practical ...
Kyritsi, Persefoni, Cox, D.C., Valenzuela, R.A.   +2 more
openaire   +2 more sources

Error estimation and error bounds for neural networks

Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 2002
A method is proposed to estimate the standard error of predicted values in multilayer perceptron (MLP). It is based on likelihood theory. It holds for all feedforward networks, irrespective of the topology or the specific task at hand. In addition, the bounds on a neural network with perturbed weights and inputs is analytically derived.
Hualou Liang, Guiliang Dai
openaire   +1 more source