12 years 8 months ago
An optimization algorithm of independent mean and variance parameter tying structures for HMM-based speech synthesis
This paper proposes a technique for constructing independent parameter tying structures of mean and variance in HMMbased speech synthesis. Conventionally, mean and variance parame...
Shinji Takaki, Keiichiro Oura, Yoshihiko Nankaku, ...
12 years 11 months ago
Welch method revisited: nonparametric power spectrum estimation via circular overlap
The objective of this paper is twofold. The first part provides further insight in the statistical properties of the Welch power spectrum estimator. A major drawback of the Welch m...
Kurt Barbé, Rik Pintelon, Johan Schoukens
161views more  JMLR 2010»
12 years 11 months ago
Empirical Bernstein Boosting
Concentration inequalities that incorporate variance information (such as Bernstein's or Bennett's inequality) are often significantly tighter than counterparts (such as...
Pannagadatta K. Shivaswamy, Tony Jebara
99views more  JMLR 2010»
12 years 11 months ago
On Combining Graph-based Variance Reduction schemes
In this paper, we consider two variance reduction schemes that exploit the structure of the primal graph of the graphical model: Rao-Blackwellised w-cutset sampling and AND/OR sam...
Vibhav Gogate, Rina Dechter
98views more  JACM 2011»
12 years 11 months ago
Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix
We analyze the convergence of randomized trace estimators. Starting at 1989, several algorithms have been proposed for estimating the trace of a matrix by 1 M M i=1 zT i Azi, where...
Haim Avron, Sivan Toledo
70views Education» more  CORR 1999»
13 years 4 months ago
Restart Strategies and Internet Congestion
We recently presented a methodology to quantitatively reduce the average time and variance in the time required to execute electronic transactions in a network environment such as...
Sebastian M. Maurer, Bernardo A. Huberman
128views more  BMCBI 2004»
13 years 4 months ago
Comparing transformation methods for DNA microarray data
Background: When DNA microarray data are used for gene clustering, genotype/phenotype correlation studies, or tissue classification the signal intensities are usually transformed ...
Helene H. Thygesen, Aeilko H. Zwinderman
119views more  BIOINFORMATICS 2004»
13 years 4 months ago
Analysis of variance components in gene expression data
Motivation: A microarray experiment is a multi-step process, and each step is a potential source of variation. There are two major sources of variation: biological variation and t...
James J. Chen, Robert R. Delongchamp, Chen-An Tsai...
88views more  JAR 2008»
13 years 4 months ago
Using Theorem Proving to Verify Expectation and Variance for Discrete Random Variables
Statistical quantities, such as expectation (mean) and variance, play a vital role in the present age probabilistic analysis. In this paper, we present some formalization of expect...
Osman Hasan, Sofiène Tahar
81views more  COR 2007»
13 years 4 months ago
Job scheduling methods for reducing waiting time variance
Minimizing Waiting Time Variance (WTV) is a job scheduling problem where we schedule a batch of n jobs, for servicing on a single resource, in such a way that the variance of thei...
Nong Ye, Xueping Li, Toni Farley, Xiaoyun Xu