Discriminant Q2 (DQ2) for improved discrimination in PLSDA models

Bayesian Optimum Design Criterion for Multi Models Discrimination

The problem of obtaining the optimum design, which is able to discriminate between several rival models has been considered in this paper. We give an optimality-criterion, using a Bayesian approach. This is an extension of the Bayesian KL-optimality to more than two models. A modification is made to deal with nested models. The proposed Bayesian optimality criterion is a weighted average, where...

Nonlinear discriminant analysis for improved speech recognition

Discriminant Models for Word Alignment

Word alignment aims to link each word of a translated sentence to its related words in the source sentence. Nowadays, Giza++ is the most used word alignment system. This toolkit implements the generative IBM models. Despite its popularity, several limitations remain. We thus propose to address this task using discriminative models (Maximum Entropy and Conditional Random Fields) which can easily...

Discriminant Analysis for ARMA Models Based on Divergency Criterion: A Frequency Domain Approach

The extension of classical analysis to time series data is the basic problem faced in many fields, such as engineering, economic and medicine. The main objective of discriminant time series analysis is to examine how far it is possible to distinguish between various groups. There are two situations to be considered in the linear time series models. Firstly when the main discriminatory informati...

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...