A review of irregular time series data handling with gated recurrent neural networks
Irregular time series data is becoming increasingly prevalent with the growth of multi-sensor
systems as well as the continued use of unstructured manual data recording mechanisms …
systems as well as the continued use of unstructured manual data recording mechanisms …
Speech recognition by machine, a review
MA Anusuya, SK Katti - ar** attacks by support vector machines
This article presents a framework for converting wireless signals into structured datasets,
which can be fed into machine learning algorithms for the detection of active eavesdrop** …
which can be fed into machine learning algorithms for the detection of active eavesdrop** …
The Cauchy–Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels
This paper contributes a tutorial level discussion of some interesting properties of the recent
Cauchy–Schwarz (CS) divergence measure between probability density functions. This …
Cauchy–Schwarz (CS) divergence measure between probability density functions. This …
Machine Learning application in prediction of Scour around Bridge Piers: A Comprehensive review
Scour is one of the most difficult challenges faced by hydraulic engineers, which refers to the
erosion of sediments that surrounds hydraulic structures. In the past, scour prediction has …
erosion of sediments that surrounds hydraulic structures. In the past, scour prediction has …
Sketching data sets for large-scale learning: Kee** only what you need
Big data can be a blessing: with very large training data sets it becomes possible to perform
complex learning tasks with unprecedented accuracy. Yet, this improved performance …
complex learning tasks with unprecedented accuracy. Yet, this improved performance …