\1ode (also called \1AP\ estimation. mean esumation and median estimation are examined here to determine when they can be 'afely used to derive (posterior) cost mmimwng estimates. !These are all Bayes procedures. using the mode. mean. or median of the posterior distnbu· lion.) [t is found that modal estimation only returns cost m1mmizmg estimates when the cost function is 0L. [f the cost funcuo...

The Visual Magnitude Satellite Catalogue effort [1] presently employs a simple straight-line model for solar phaseand declination-angle dependencies, an approach that, at least for declination angle, lacked any real pedigree. The present attempt to improve the modeling began by investigating several competing gridding techniques that would allow two-parameter brightness dependencies to be displ...

Best practices for software effort estimation can include the use of automatic techniques to summarize past data. There exists a large and growing number of techniques. Which are useful? In this study, 158 techniques were applied to some COCOMO data. 154 158 = 97% of the variants explored below add little or nothing to a standard linear model (with simple column and row pruning). For example, l...

Density estimation is an interdisciplinary topic at the intersection of statistics, theoretical computer science and machine learning. We review some old and new techniques for bounding sample complexity of estimating densities of continuous distributions, focusing on the class of mixtures of Gaussians and its subclasses.

A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...

An inspection of signal processing approach in order to estimate underwater network cardinalities is conducted in this research. A matter of key prominence for underwater network is its cardinality estimation as the number of active cardinalities varies several times due to numerous natural and artificial reasons due to harsh underwater circumstances. So, a proper estimation technique is mandat...

  These days, data mining one of the most significant issues. One field data mining is a mixture of computer science and statistics which is considerably limited due to increase in digital data and growth of computational power of computer. One of the domains of data mining is the software cost estimation category. In this article, classifying techniques of learning algorithm of machine ...

A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...