Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Re-usable utility components for Arduino projects. All the stuff we all end up re-implementing every project - buttons, averaging samplers, voltage and current measurements calculations and so on. The ...
... and a number of hands-on exercises and demos. 1 Tao Hong, Pierre Pinson, Shu Fan, Hamidreza Zareipour, Alberto Troccoli and Rob J. Hyndman, "Probabilistic energy ...
In this paper, a multitemporal SAR image despeckling based on non-local theory (NLG-MulSAR) algorithm is proposed, which is improved based on the basic framework of the ratio-based multitemporal SAR ...
Cis-regulatory sequences regulate the expression of nearby genes. Recently, remarkable advances in our ability to predict the function of cis-regulatory sequences have been achieved by using ...
Exponential smoothing and moving average are key techniques for time series forecasting. Exponential smoothing assigns exponentially decreasing weights to observations over time. Moving average ...
The era of modern financial data modeling seeks machine learning techniques which are suitable for noisy and non-stationary big data. We demonstrate how a general class of exponential smoothed ...
In the continuing arms race in computer and network security, a common trend is that attackers are employing polymorphic techniques. Toolkits such as ADMmutate [17], PHATBOT [10], and CLET [5] are ...
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