Previous studies have used various regression or other learning based algorithms to estimate network weights.
Assumption 2 will be used in the proposed pattern-search-based algorithm to estimate the delay in Section 3, and it is feasible in many practical control problems, where bounds on the delay are known.
We can summarize the covariance-fitting-based algorithm to estimate the central DOAs at a fixed time as follows: 1. Compute the sample covariance matrix (widehat {boldsymbol {R}}_{textit {xx}}) and specify the initial values of (tilde {bar {theta }}_{k}), k=1,2,…,K; 2.
In [ 21], we have introduced a logistic regression based algorithm to directly estimate the configuration by using the same feature vectors.
Based on the algorithm to estimate region-specific overall cancer mortality, and site-specific survival, death distributions, and incidence as a part of GBD 2000 study, it is estimated that cancers accounted for over 7 million deaths (13% of total mortality) and more than 10 million new cases occurred world wide in 2000.
In this paper, we analyse the kinds of motion that arise during image formation and we describe a model based non-rigid registration algorithm to estimate and correct for breast motion.
We used the Levenshtein edit distance based on Fisher-Wagner algorithm to estimate the cost of transforming one handwritten word into another.
In this study, we propose a new approach, based on the E-M algorithm, to estimate the progression of a multi-state chronic disease using the prevalence pool concept and Markov process models.
For the case that T>4, we develop an approximation algorithm to estimate EIS based on random walk.
