Information theoretic novelty detection

We present a novel approach to online change detection problems when the training sample size is small. The proposed approach is based on estimating the expected information content of a new data point and allows an accurate control of the false positive rate even for small data sets. In the case of the Gaussian distribution, our approach is analytically tractable and closely related to classical statistical tests. We then propose an approximation scheme to extend our approach to the case of the mixture of Gaussians. We evaluate extensively our approach on synthetic data and on three real benchmark data sets. The experimental validation shows that our method maintains a good overall accuracy, but significantly improves the control over the false positive rate

Spartan Daily, April 26, 1999

Volume 112, Issue 56https://scholarworks.sjsu.edu/spartandaily/9413/thumbnail.jp

A description of a system of programs for mathematically processing on unified series (YeS) computers photographic images of the Earth taken from spacecraft

A description of a batch of programs for the YeS-1040 computer combined into an automated system for processing photo (and video) images of the Earth's surface, taken from spacecraft, is presented. Individual programs with the detailed discussion of the algorithmic and programmatic facilities needed by the user are presented. The basic principles for assembling the system, and the control programs are included. The exchange format within whose framework the cataloging of any programs recommended for the system of processing will be activated in the future is displayed

College Catalog, 1964-1965, Graduate

https://digitalcommons.buffalostate.edu/buffstatecatalogs/1176/thumbnail.jp

The Role Of The Vocational Agriculture Teacher In A Vocational Guidance Program In The A.M. Story High School, Palestine, Texas

There is a great need for an understanding of the aims, purposes, and achievements to be attained through a functional guidance program in the A. M. Story High School, Palestine, Texas. For the past six years, a vocational guidance program has been practiced in the Palestine school. largely, the program has been centered upon the giving of advice and information to pupils concerning certain vocations and occupations on the request of the pupil. As a result, only a few pupil3 were benefited by this service, and it made no real contribution to the total program of school life. Statement of the Problem It is the purpose of this study to develop a workable plan for clearly defining the role of the vocational agriculture teacher in promoting a better vocational guidance program in the A. M. Story High School, Palestine, Texas. Justification of the Problem Vocational guidance, as it relates to vocational agriculture in the A. M. Story High School, has not met the writer\u27s expectations. The writer feels that too little emphasis has been placed upon helping pupils choose their vocations. Furthermore, no established methods have been used to measure the effectiveness of the present vocational guidance program. The writer feels that a functional guidance program should include a continuous process by which assistance is regularly afforded to pupils in situations where adjustments, planning, and interpretation are made and by which individual differences and needs are effectively related to the requirements and opportunities of social and individual situations

Comprehensive cosmographic analysis by Markov Chain Method

We study the possibility to extract model independent information about the dynamics of the universe by using Cosmography. We intend to explore it systematically, to learn about its limitations and its real possibilities. Here we are sticking to the series expansion approach on which Cosmography is based. We apply it to different data sets: Supernovae Type Ia (SNeIa), Hubble parameter extracted from differential galaxy ages, Gamma Ray Bursts (GRBs) and the Baryon Acoustic Oscillations (BAO) data. We go beyond past results in the literature extending the series expansion up to the fourth order in the scale factor, which implies the analysis of the deceleration, q_{0}, the jerk, j_{0} and the snap, s_{0}. We use the Markov Chain Monte Carlo Method (MCMC) to analyze the data statistically. We also try to relate direct results from Cosmography to dark energy (DE) dynamical models parameterized by the Chevalier-Polarski-Linder (CPL) model, extracting clues about the matter content and the dark energy parameters. The main results are: a) even if relying on a mathematical approximate assumption such as the scale factor series expansion in terms of time, cosmography can be extremely useful in assessing dynamical properties of the Universe; b) the deceleration parameter clearly confirms the present acceleration phase; c) the MCMC method can help giving narrower constraints in parameter estimation, in particular for higher order cosmographic parameters (the jerk and the snap), with respect to the literature; d) both the estimation of the jerk and the DE parameters, reflect the possibility of a deviation from the LCDM cosmological model.Comment: 24 pages, 7 figure