We present a new algorithm to estimate the parameters of a Hidden Markov Model (HMM), specifically the transition probability matrix of the hidden states and the emission probabilities, given an observed sequence of data. The algorithm uses the number of transitions present in the observed label sequence and computes the parameters in an iterative fashion. We present experiments that demonstrat...

Lewis, and Welch in this issue The fast Fourier transform (FFT) is a method. efficiently As mentioned in the Introduction, the FFT is an algorithm that makes. A fast Fourier transform (FFT) is an algorithm to compute the DFT and its The basic ideas were popularized in 1965, but some FFTs had been previously. This document is a very brief introduction to sound analysis principles. It is mainly F...

In this study, 40 healthy control group and 40 patients with rheumatoid arthritis (RA) and Doppler signal from radial artery of the left and right hand were recorded. This non-parametric Welch Periodogram method to signal attributes of the signs were removed and the artificial neural network (ANN) classification method was utilized in order to recognize diseased and healthy control group indivi...

We present two efficient search algorithms for real-time spoken language systems. The first called the Word-Dependent N-Best algorithm is an improved algorithm for finding the top N sentence hypotheses. The new algorithm is shown to perform as well as the Exact Sentence-Dependent algorithm presented previously but with an order of magnitude less computation. The second algorithm is a fast match...

The scattered fields of a number of targets in free space are measured. Their complex natural resonances are extracted from the late time responses, using the generalized pencil-of-function method. The complex natural resonances, as the targets are immersed in a lossy medium, are investigated using Baum’s transform. The results of the complex natural resonances for various targets are expected ...

We present a polynomial time algorithm to learn an intersection of a constant number of halfspaces in n dimensions over the uniform distribution on an n dimensional ball The al gorithm we present in fact can learn an intersection of an arbitrary polynomial number of halfspaces over this distribution if the subspace spanned by the normal vectors to the bounding hyperplanes has constant dimension...

Hybrid HMM/MLP models are useful to model piecewise stationary non-linear time series. A popular way to estimate the parameters of such models is to use the E.M. algorithm thanks to the Baum and Welch, forward-backward, algorithm. In this paper, we study a convenient way to estimate the parameters thanks to differential optimization. This new method can dramatically improve the time of calculus...

ABSTRACT: In this paper, the complete convergence and the complete moment convergence of weighted sums for an array of negatively superadditive dependent random variables are established. The results generalize the Baum-Katz theorem on negatively superadditive dependent random variables. In particular, the Marcinkiewicz-Zygmund type strong law of large numbers of weights sums for sequences of n...

L. Frank Baum’s The Wonderful Wizard of Oz has become popular as a teaching tool in economics. It has been argued that it was written as an allegory of Populist demands for a bimetallic monetary system in the late 19th century. The author argues that Baum was not sympathetic to Populist views and did not write the story as a monetary allegory.