Descriptive catalogue of the Medical Museum of McGill University arranged on a modified decimal system of museum classification

Blank numbered pages at end of sections.

Quantifying riparian habitat for wildlife in the Vermilion Basin : an evaluation of the Illinois stream information system and other geographic data for statewide classification of riparian habitat /

"This one-year project was designed to assess the feasibility of using the information contained in the Illinois Stream Information System (ISIS), in conjunction with the Illinois Geographic Information System (IGIS), to evaluate the riparian habitat for wildlife in the Vermilion River Basin." -- pg. 4.

Address of the Literary and Philosophical Society of South-Carolina, to the people of the state : on the classification, character and exercises, or the objects and advantages of the lyceum system, with a view to its general introduction into our towns, villages, and the country at large.

Mode of access: Internet.

A grammar of botany : illustrative of artificial, as well as natural classification: with an explanation of Jussieu's system /

"Abbé Correa published for the use of his class in Philadelphia [in 1815] a reduction of the genera of Muhlenberg's Catalogue according to the system of Jussieu." cf. J. W. Harshberger's The botanists of Philadelphia, Philadelphia, 1899, p. 8.

A complete course of instruction for the piano forte, with the assistance of hand guides: containing the principles of music, a complete system of fingering, with rules on expression and musical punctuation, and a classification of authors, proper to be studied, followed by a study for three fingers, a toccata, a fugue of four parts for the left hand alone, and several studies in thirds, sixths, and octaves.

Principally exercises.

Vehicle classification case study for the highway performance monitoring system /

Chiefly tables.

A Knowledge-based System for Intelligent Support in Pharmacogenomics Evidence Assessment: Ontology-driven Evidence Representation, Retrieval, Classification and Interpretation

Thesis (Ph.D.)--University of Washington, 2016-06

The development of a multi-function computer-assisted instruction system using a hierarchical database structure as the lesson compendium.

Computer-Based Learning systems of one sort or another have been in existence for almost 20 years, but they have yet to achieve real credibility within Commerce, Industry or Education. A variety of reasons could be postulated for this, typically: - cost - complexity - inefficiency - inflexibility - tedium Obviously different systems deserve different levels and types of criticism, but it still remains true that Computer-Based Learning (CBL) is falling significantly short of its potential. Experience of a small, but highly successful CBL system within a large, geographically distributed industry (the National Coal Board) prompted an investigation into currently available packages, the original intention being to purchase the most suitable software and run it on existing computer hardware, alongside existing software systems. It became apparent that none of the available CBL packages were suitable, and a decision was taken to develop an in-house Computer-Assisted Instruction system according to the following criteria: - cheap to run; - easy to author course material; - easy to use; - requires no computing knowledge to use (as either an author or student) ; - efficient in the use of computer resources; - has a comprehensive range of facilities at all levels. This thesis describes the initial investigation, resultant observations and the design, development and implementation of the SCHOOL system. One of the principal characteristics c£ SCHOOL is that it uses a hierarchical database structure for the storage of course material - thereby providing inherently a great deal of the power, flexibility and efficiency originally required. Trials using the SCHOOL system on IBM 303X series equipment are also detailed, along with proposed and current development work on what is essentially an operational CBL system within a large-scale Industrial environment.

The classification of HLA supertypes by GRID/CPCA and hierarchical clustering methods

Biological experiments often produce enormous amount of data, which are usually analyzed by data clustering. Cluster analysis refers to statistical methods that are used to assign data with similar properties into several smaller, more meaningful groups. Two commonly used clustering techniques are introduced in the following section: principal component analysis (PCA) and hierarchical clustering. PCA calculates the variance between variables and groups them into a few uncorrelated groups or principal components (PCs) that are orthogonal to each other. Hierarchical clustering is carried out by separating data into many clusters and merging similar clusters together. Here, we use an example of human leukocyte antigen (HLA) supertype classification to demonstrate the usage of the two methods. Two programs, Generating Optimal Linear Partial Least Square Estimations (GOLPE) and Sybyl, are used for PCA and hierarchical clustering, respectively. However, the reader should bear in mind that the methods have been incorporated into other software as well, such as SIMCA, statistiXL, and R.

Model Construction and Research using System Compositional Approach on Natural Hierarchical Neural Networks. Development of Computer Toolbox

System compositional approach to model construction and research of informational processes, which take place in biological hierarchical neural networks, is being discussed. A computer toolbox has been successfully developed for solution of tasks from this scientific sphere. A series of computational experiments investigating the work of this toolbox on olfactory bulb model has been carried out. The well-known psychophysical phenomena have been reproduced in experiments.

Ontology-based Classification of News in an Electronic Newspaper

This paper deals with the classification of news items in ePaper, a prototype system of a future personalized newspaper service on a mobile reading device. The ePaper system aggregates news items from various news providers and delivers to each subscribed user (reader) a personalized electronic newspaper, utilizing content-based and collaborative filtering methods. The ePaper can also provide users "standard" (i.e., not personalized) editions of selected newspapers, as well as browsing capabilities in the repository of news items. This paper concentrates on the automatic classification of incoming news using hierarchical news ontology. Based on this classification on one hand, and on the users' profiles on the other hand, the personalization engine of the system is able to provide a personalized paper to each user onto her mobile reading device.

An SVM-Fuzzy system design for diabetes risk classification