Abstract: The k-vectors algorithm for learning regression functions proposed here is akin to the well-known k-means algorithm. Both algorithms partition the space of “features”, but in contrast to the ...

Practical experiments on Machine Learning in Python. Processing of sentences and finding relevant ones, approximation of function with polynomials, function optimization ...

This is a simple script for finding local minimum of a 2 argument function z=f(x,y) starting from given point (x,y).

Abstract: Here we propose a novel machine learning method for time series forecasting which is based on the widely-used Least Squares Support Vector Machine (LS-SVM) approach. The objective function ...

This is a preview. Log in through your library . Abstract We consider the class of nonseparable mathematical programs in which the vector variable can be partitioned into a number of subvectors ...