A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
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This article is published in Annals of Mathematical Statistics.The article was published on 1970-02-01 and is currently open access. It has received 4618 citations till now. The article focuses on the topics: Examples of Markov chains & Markov chain.read more
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Proceedings ArticleDOI
Hand gesture recognition of a mobile device user
TL;DR: Experiments with acceleration sensors and an experimental sensor box for the research of context-awareness show great promise of the chosen technologies for recognizing gestures of a user of a mobile device.
Journal ArticleDOI
Alignment of LC-MS images, with applications to biomarker discovery and protein identification
Mathias Vandenbogaert,Sébastien Li-Thiao-Té,Sébastien Li-Thiao-Té,Hans-Michael Kaltenbach,Runxuan Zhang,Tero Aittokallio,Tero Aittokallio,Benno Schwikowski +7 more
TL;DR: Current approaches to LC‐MS image alignment are surveyed and the relative merits and potential pitfalls of these approaches are discussed.
CLUSTER: An Unsupervised Algorithm for Modeling Gaussian Mixtures
TL;DR: Charles A. Bouman School of Electrical Engineering Purdue University West Lafayette IN 47906 bouman@ecn.p Purdue.edu (765) 494-0340 http://www.ece.purdue.edu/~bouman
BookDOI
Generalized LR parsing
TL;DR: The Generalized LR Parsing Algorithm and Experiments with GLR and Chart Parsing are described.
References
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Journal ArticleDOI
Statistical Inference for Probabilistic Functions of Finite State Markov Chains
Leonard E. Baum,Ted Petrie +1 more
Journal ArticleDOI
An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology
Leonard E. Baum,J. A. Eagon +1 more
TL;DR: In this paper, a polynomial with nonnegative coefficients homogeneous of degree d in its variables is shown to be polynomially homogeneous unless 3(3(x))>P(x), where 3(x)=x.
Book ChapterDOI
The Gamma Function
Willi Freeden,Martin Gutting +1 more
TL;DR: The Gamma function as discussed by the authors is a generalized factorial function that can be used to estimate the probability distribution of a probability distribution, and it has been used in many applications, e.g., as part of probability distributions.