Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables

RESEARCH DESIGN Qualitative , Quantitative . and Mixed Methods Approaches SECOND EDITION

Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition

In standard automatic speech recognition (ASR), hidden Markov models (HMMs) calculate their emission probabilities by an artificial neural network (ANN) or a Gaussian distribution conditioned only upon the hidden state variable. Recent work [12] showed the benefit of conditioning the emission distributions also upon a discrete auxiliary variable, which is observed in training and hidden in reco...

Modified Sine-Cosine Algorithm for Sizing Optimization of Truss Structures with Discrete Design Variables

This paper proposes a modified sine cosine algorithm (MSCA) for discrete sizing optimization of truss structures. The original sine cosine algorithm (SCA) is a population-based metaheuristic that fluctuates the search agents about the best solution based on sine and cosine functions. The efficiency of the original SCA in solving standard optimization problems of well-known mathematical function...

A Mixed Qualitative-quantitative Classifica't'ion

In this paper a self-learning classification method, able to deal with both qualitative and quantitative data, will be presented. This technique presents important advantages with respect to classical approaches, both numerical and symbolical ones : it is faster, less memory demanding, performs a sequential treatment and can carry out both supervised (non-iterative) and unsupervised learning . ...

Computer Experiments With Both Qualitative and Quantitative Variables

Computer Experiments With Both Qualitative and Quantitative Variables Hengzhen Huang, Dennis K. J. Lin, Min-Qian Liu & Jian-Feng Yang To cite this article: Hengzhen Huang, Dennis K. J. Lin, Min-Qian Liu & Jian-Feng Yang (2016) Computer Experiments With Both Qualitative and Quantitative Variables, Technometrics, 58:4, 495-507, DOI: 10.1080/00401706.2015.1094416 To link to this article: http://dx...