In this paper, we provide theoretical analysis for a cubic regularization of Newton method as applied to unconstrained minimization problem. For this scheme, we prove general local...
The aim of this paper is to compare different log-likelihood scoring methods, that different sites used in the latest state-of-the-art Joint Factor Analysis (JFA) Speaker Recognit...
Ondrej Glembek, Lukas Burget, Najim Dehak, Niko Br...
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
The discrete nature of categorical data makes it a particular challenge for visualization. Methods that work very well for continuous data are often hardly usable with categorical...
This paper presents an integrated framework for assessment and ranking of manufacturing systems based on management and organizational performance indicators. The integrated appro...
Ali Azadeh, S. F. Ghaderi, Y. Partovi Miran, V. Eb...