Residual (numerical analysis)
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This paper presents a prediction based neural networks approach for stock returns. An autoregressive neural network predictor is… (More)
In many commercial systems, the 'best bet' recommendations are shown, but the predicted rating values are not. This is usually… (More)
We introduce a new method for brain MRI segmentation, called the auto context model (ACM), to segment the hippocampus… (More)
In this paper we discuss tests for residual cross section dependence in nonlinear panel data models. The tests are based on… (More)
This paper describes a method for estimating of the fundamental frequencies (FO) of several concurrent musical sounds. The method… (More)
- Archives of Women’s Mental Health
As educators and authors, Stuart and Robertson could be described as clinicians’ clinicians. Their newly released Interpersonal… (More)
- IEEE Trans. Vis. Comput. Graph.
This paper describes a general framework for out-of-core rendering and management of massive terrain surfaces. The two key… (More)
- IEEE Trans. Aerospace and Electronic Systems
A multiple model adaptive estimator (MMAE) [1, 2, 6, 8, 9, 11] consists of a bank of parallel Kalman filters, each with a… (More)
This talk proposes a very simple “baseline architecture” for a learning agent that can handle stochastic, partially observable… (More)
In analysis-synthesis of musical sounds based on a sinu-soidal model, the diierence between the original signal and the… (More)