Sentence examples for weighted process from inspiring English sources

Exact(2)

In order to diagnosis of macular disease, we have used class dependency based feature selection as feature selection process, fuzzy weighted pre-processing as weighted process and decision tree classifier as decision making.

The weighted process can be seen as a preprocessing that obtains the rough information about the row support and the weighted values.

Similar(58)

Others [41] have shown that such weighted processes can be mathematically simplified while maintaining the essence of the model dynamics, by assuming the polarized view that the invader replaces the resident parasite (superinfection) with a probability σ (Fig. 1a) and is cleared otherwise.

Kidneys were dissected, weighted and processed for histological analysis.

One common approach is to give weights to the metrics on which heuristics are more important to maintain and combine them into one weighted sum (although this weighting process is often subjective).

Even if there are more Tory primaries, a rule change agreed in late July means that in newly vacated seats the choice of candidate will be from a shortlist decided at Tory HQ in a process weighted in favour of party managers.

This chapter provides an understanding of specific implementation challenges when working with the speech inference process, weighted finite state transducer (WFST) based methods, and the Viterbi algorithm.

An individual's destination was determined via a random process, weighted by the population size of each possible destination but not the physical distance between locations.

To minimise potential selection bias in the randomly selected controls we weighted the selection process for "random" controls to match the maternal social class distribution of mothers with dependent children in Avon from the 1991 census.

Designed in an 180 nm 1.8 V standard CMOS technology, by properly setting the 6-bit registers in the arithmetic unit, the voltage inputs are weighted before being processed by a non-linear circuit.

The expectation value of the generated stochastic processes weighted by an inner boundary condition is given by fleft s,p,mu,tright)=left<,f_{0}left(s_{t-tau_{0}},p_{t-tau_{0}},mu_{t-tau_{0}},t-tau_{0}right)right>, (22).

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