Sentence examples for based on statistical algorithms from inspiring English sources

This is one of the major advantages of SurvNet compared with outbreak detection systems based on statistical algorithms of case reports.

A common goal of computational neuroscience and of artificial intelligence research based on statistical learning algorithms is the discovery and understanding of computational principles that could explain what we consider adaptive intelligence, in animals as well as in machines.

This seems understandable, because a GRN represents an inferred network based on statistical inference algorithms and, in addition, gene expression data used to infer a GRN do not capture any type of direct physical interactions among molecules.

Multicomponent procedures based on statistical assumptions and algorithms are explained.

Bioinformatics tools also based on statistical and ML algorithms are able to utilize these data.

New evolutionary algorithms based on statistical estimation, called estimation of distribution algorithms [ 15, 67], enable Bayesian probability distributions to be used as input data to optimize system parameters.

Based on statistical measures, the proposed algorithm can explore/exploit better-quality solutions, and it outperforms as the best amongst the other compared algorithms.

We propose a localization algorithm based on statistical uncorrelated vectors and develop a smoothing algorithm to minimize the noise in RSSI values.

Among them, support vector machine (SVM) is one of the popular learning algorithms based on statistical learning theory [ 27].

In this article, we present a new voice activity detection (VAD) algorithm that is based on statistical models and empirical rule-based energy detection algorithm.

A Berkeley team of eight faculty members and 40 Ph.D. students is rising to that challenge via three initiatives: inventing algorithms based on statistical machine learning; harnessing many machines in the cloud; and developing crowd-sourcing techniques to get people to help answer questions that prove too hard for our algorithms and machines.