TY - CONF TI - Study and Auto-Detection of Stress Based on Tonal Pitch Range in Mandarin AU - Shen, Xipeng AU - Xu, Bo T2 - Conference on Speech Communication and Technology C2 - 2001/9// C3 - Proceedings of Seventh European Conference on Speech Communication and Technology CY - Aalborg, Denmark DA - 2001/9// PY - 2001/9// SP - 123–126 ER - TY - CONF TI - The Study Of The Effect Of Training Set On Statistical Language Modeling AU - Shen, Xipeng AU - Xu, Bo T2 - Conference on Speech Communication and Technology C2 - 2001/9// C3 - Proceedings of Seventh European Conference on Speech Communication and Technology CY - Aalborg, Denmark DA - 2001/9// PY - 2001/9// SP - 721–724 ER - TY - JOUR TI - Finding near-optimal Bayesian experimental designs via Genetic algorithms AU - Hamada, M. AU - Martz, H.F. AU - Reese, C.S. AU - Wilson, A.G. T2 - American Statistician AB - This article shows how a genetic algorithm can be used to find near-optimal Bayesia nexperimental designs for regression models. The design criterion considered is the expected Shannon information gain of the posterior distribution obtained from performing a given experiment compared with the prior distribution. Genetic algorithms are described and then applied to experimental design. The methodology is then illustrated with a wide range of examples: linear and nonlinear regression, single and multiple factors, and normal and Bernoulli distributed experimental data. DA - 2001/// PY - 2001/// DO - 10.1198/000313001317098121 VL - 55 IS - 3 SP - 175-181 UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-0035620460&partnerID=MN8TOARS KW - expected information gain KW - logistic regression KW - linear and nonlinear regression KW - multifactor designs KW - Shannon information ER -