Machine learning methods application for consumer banking

Machine Learning methods for interatomic potentials: application to boron carbide

Total energies of crystal structures can be calculated to high precision using quantumbased density functional theory (DFT) methods, but the calculations can be time consuming and scale badly with system size. Boron carbide exhibits disorder in the distribution of boron and carbon atoms among the crystallographic sites. A cluster expansion of the DFT energy in a series of pairs, triplets, etc. ...

Bundle Methods for Machine Learning

We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other regularized risk minimization setting which leads to a convex optimization problem. SVMPerf can be shown to be a special case of our approach. In addition to the unified framework we present tight convergence bounds, w...

Statistical methods with application to machine learning and artificial intelligence

Machine Learning Methods in the Application of Speech Emotion Recognition

Machine Learning concerns the development of algorithms, which allows machine to learn via inductive inference based on observation data that represent incomplete information about statistical phenomenon. Classification, also referred to as pattern recognition, is an important task in Machine Learning, by which machines “learn” to automatically recognize complex patterns, to distinguish between...

Application of Learning Machine Methods to 3D Object Modeling

Three different machine learning algorithms applied to 3D object modeling are compared. The methods considered, (Support Vector Machine, Growing Grid and Kohonen feature Map) were compared in their capacity of modeling the surface of several synthetic and experimental 3D objects. The preliminary experimental results show that with slight modifications these learning algorithms can be very well ...