منابع مشابه
William Henry Welch (1850-1934): the road to Johns Hopkins.
William Henry Welch's selection in 1884 as the first faculty member of the new medical school at Johns Hopkins created the invigorating atmosphere that generated the revolutionary changes in medical training and laboratory medicine that transformed medicine in America. Dr. Welch's family traditions, his New England upbringing, Yale education, and German university experience prepared a unique i...
متن کاملWilliam H. Welch and the Rise of Modern Medicine
The Handbook of Neurotological Diagnosis, edited by John W. House and Alec Fitzgerald O'Connor, is the result of a cooperative effort between clinicians and scientists from the United States and Europe with the proposed goal ". . . to provide the reader with broad knowledge of the recent developments in the rapidly advancing field of neurotology." The field of neurotology encompasses the study ...
متن کاملAdapted Extended Baum-Welch Transformations
The discrimination technique for estimating parameters of Gaussian mixtures that is based on the Extended Baum-Welch transformations (EBW) has had significant impact on the speech recognition community. In this paper we introduce a general definition of a family of EBW transformations that can be associated with a weighted sum of updated and initial models. We compute a gradient steepness measu...
متن کاملGeometry of the Welch Bounds
A geometric perspective is used to derive the entire family of Welch bounds. This perspective unifies a number of observations that have been made regarding tightness of the bounds and their connections to symmetric k-tensors, tight frames, homogeneous polynomials, and tdesigns. Index Terms – Frames, Grammian, Homogeneous polynomials, Symmetric tensors, t-designs, Welch bounds
متن کاملGeneralized Baum-Welch Algorithm and its Implication to a New Extended Baum-Welch Algorithm
This paper describes how we can use the generalized BaumWelch (GBW) algorithm to develop better extended BaumWelch (EBW) algorithms. Based on GBW, we show that the backoff term in the EBW algorithm comes from KL-divergence which is used as a regularization function. This finding allows us to develop a fast EBW algorithm, which can reduce the time of model space discriminative training by half, ...
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ژورنال
عنوان ژورنال: PS: Political Science & Politics
سال: 1978
ISSN: 1049-0965,1537-5935
DOI: 10.1017/s1049096500004819