This paper proposes a new class of hidden Markov model (HMM) called multiple-regression HMM (MRHMM) that utilizes auxiliary features such as fundamental frequency ( ) and speaking styles that affect spectral parameters to better model the acoustic features of phonemes. Though such auxiliary features are considered to be the factors that degrade the performance of speech recognizers, the propose...

In this paper, we extend graph-based identification methods by allowing background knowledge in the form of non-zero parameter values. Such information could be obtained, for example, from a previously conducted randomized experiment, from substantive understanding of the domain, or even an identification technique. To incorporate such information systematically, we propose the addition of auxi...

This  qualitative  study  investigates  the  uses  of  be  in  Contemporary  English.  Based  on  this  study, one  easy  claim  and  one  more  difficult  claim  are  proposed.  The  easy  claim  is  that  the  traditional distinction between be as a lexical verb and be as an auxiliary is faulty. In particular, 'copular-be', traditionally considered to be a lexical verb, is in fact a prototypi...

In right-censored data, one goal is to to obtain an estimator of treatment dose-effect, which is represented by some parameter in a marginal model of lifetime given treatment dose variable. When dependent censoring is explained by both the dose variable and many other auxiliary covariates (high-dimensional auxiliary information), an intuitive approach to estimate the dose effect is to first est...

A face acquired by recognition systems is invariably subject to environmental and sensing conditions, which may change over time. This may have a significant negative impact on the accuracy of recognition algorithms. In the past, these problems have been tackled by building in invariance to the various changes, by adaptation, and by multiple expert systems. More recently, the possibility of enh...

PURPOSE To evaluate whether medication counseling with emphasis on auxiliary labels improves recall of auxiliary label information and adherence to medication schedules. METHODS A prospective, randomized study of an educational intervention in community pharmacies near Baltimore, Maryland. Fifty literate, English-speaking adults receiving one of the 18 commonly dispensed antibiotics were rand...

Given a program f and an input change � w e wish to obtain an incremental program that computes f x � y e ciently by making use of the value of f x the intermediate results computed in computing f x and auxiliary information about x that can be inexpensively maintained Obtaining such incremen tal programs is an essential part of the transformational programming approach to software development ...

Building classification models from clinical data collected for past patients often requires additional example labeling and annotation by a human expert. Since example labeling may require to review a complete electronic health record the process can be very time consuming and costly. To make the process more cost-efficient, the number of examples an expert needs to label should be reduced. We...

A unified framework to deal with the effective use of complete auxiliary information from survey data at the estimation stage has been attempted. The proposed method involves modeling the relationship between the variable of interest and the auxiliary variables, and then incorporating the auxiliary information into design-consistent estimators of finite population means, totals, distribution fu...