Sentence examples for diverse machine learning from inspiring English sources

Neural networks constitute a standard tool for diverse machine learning tasks in the supervised as well as the unsupervised domain, addressing issues such as function approximation, classification, dynamic system modeling, associative memory, etc.

It aims to solve diverse machine learning issues such as confidence estimation, missing feature and error correction, etc. Signal processing consists of various techniques that are part of electrical engineering and applied mathematics.

"We go for the broader perspective and we have seen that we can – with our people and our engineering – tackle more domains and add domain knowledge relatively easily". (read quote) He has geared Blue Yonder towards handling the bigger questions first – data digestion, time series management, and the handling of diverse machine learning algorithms.

SVM has proven to be a robust and versatile approach for clinical prediction, as demonstrated by its consistently high performance in head-to-head methodological comparisons of diverse machine learning methods performed with fMRI data [ 29] and other high-dimensional clinical datasets such as proteomics [ 30] and genomics [ 31].

A. A set of models are trained with diverse machine learning algorithms (Model1.. Model n in the Figure).

In cancer prognosis research, diverse machine learning models have applied to the problems of cancer susceptibility (risk assessment), cancer recurrence (redevelopment of cancer after resolution), and cancer survivability, regarding an accuracy (or an AUC--the area under the ROC curve) as a primary measurement for the performance evaluation of the models.

The prediction of eukaryotic protein subcellular localisation has been extensively investigated over the past decade using various machine learning methods and based on many diverse protein characteristics (reviewed in [ 13]).

Tamr – Following the success of initial research at MIT Computer Science and Information Lab (CSAIL), the Tamr team began building a commercial-grade solution designed to tackle the challenge of connecting and enriching diverse data at scale using machine learning.

It's a utilitarian office where more than half of the 29 staff have PhDs and are experts in "machine learning" subjects as diverse as Xbox games and writing code for high-precision equipment used by surgeons in operations.

Jones, T. R. et al. Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning.

[Radlinski/etal/08a] F. Radlinski and R. Kleinberg and T. Joachims, Learning Diverse Rankings with Multi-Armed Bandits, Proceedings of the International Conference on Machine Learning (ICML), 2008.