Carnation culture (Dianthus caryophyllus semperflorens) : its classification, history, propagation, varieties, care, culture, etc. /

Mode of access: Internet.

Parenthood and race culture; an outline of eugenics,

Mode of access: Internet.

Catalogue raisonné des plantes croissant naturellement ou soumises a la grande culture dans l'arrondissement de Montluçon (Allier). Avec une notice sur la distribution des végétaux dans cette contrée, des observations sur les fougères, un essai de classification des menthes de la flore française et une étude anatomique de l'Agropyrum caesium Presl,

"Extrait du Bulletin de la Société botanique de France (Séances, t. (XVI, XVII et XVIII)."

The declining birth-rate; its causes and effects. (Being the report of and the chief evidence taken by the National birth-rate commission, instituted, with official recognition, by the National council of public morals - for the promotion of race regeneration - spiritual, moral and physical).

Microfilmed for preservation

Nouvel atlas de poche des champignons comestibles et vénéneux les plus répandus suivi de notions générales sur les champignons, leur classification, composition chimique, valeur alimentaire, préparation culinaire, culture, etc. ...

Vol.1: 4.éd.; v.2: 2.éd.

Mental health : culture, race, and ethnicity : executive summary : a supplement to Mental health : a report of the Surgeon General.

Includes bibliographical references (p. 21).

Effectiveness of document representation for classification

Conventionally, document classification researches focus on improving the learning capabilities of classifiers. Nevertheless, according to our observation, the effectiveness of classification is limited by the suitability of document representation. Intuitively, the more features that are used in representation, the more comprehensive that documents are represented. However, if a representation contains too many irrelevant features, the classifier would suffer from not only the curse of high dimensionality, but also overfitting. To address this problem of suitableness of document representations, we present a classifier-independent approach to measure the effectiveness of document representations. Our approach utilises a labelled document corpus to estimate the distribution of documents in the feature space. By looking through documents in this way, we can clearly identify the contributions made by different features toward the document classification. Some experiments have been performed to show how the effectiveness is evaluated. Our approach can be used as a tool to assist feature selection, dimensionality reduction and document classification.

Representation and learning of visual information for pose recognition

Recovering position from sensor information is an important problem in mobile robotics, known as localisation. Localisation requires a map or some other description of the environment to provide the robot with a context to interpret sensor data. The mobile robot system under discussion is using an artificial neural representation of position. Building a geometrical map of the environment with a single camera and artificial neural networks is difficult. Instead it would be simpler to learn position as a function of the visual input. Usually when learning images, an intermediate representation is employed. An appropriate starting point for biologically plausible image representation is the complex cells of the visual cortex, which have invariance properties that appear useful for localisation. The effectiveness for localisation of two different complex cell models are evaluated. Finally the ability of a simple neural network with single shot learning to recognise these representations and localise a robot is examined.

Logic Based Pattern Recognition - Ontology Content (2)

Logic based Pattern Recognition extends the well known similarity models, where the distance measure is the base instrument for recognition. Initial part (1) of current publication in iTECH-06 reduces the logic based recognition models to the reduced disjunctive normal forms of partially defined Boolean functions. This step appears as a way to alternative pattern recognition instruments through combining metric and logic hypotheses and features, leading to studies of logic forms, hypotheses, hierarchies of hypotheses and effective algorithmic solutions. Current part (2) provides probabilistic conclusions on effective recognition by logic means in a model environment of binary attributes.

Intelligent Search and Automatic Document Classification and Cataloging Based on Ontology Approach

This paper presents an approach to development of intelligent search system and automatic document classification and cataloging tools for CASE-system based on metadata. The described method uses advantages of ontology approach and traditional approach based on keywords. The method has powerful intelligent means and it can be integrated with existing document search systems.

Recognition on Finite Set of Events: Bayesian Analysis of Generalization Ability and Classification Tree Pruning

The problem of recognition on finite set of events is considered. The generalization ability of classifiers for this problem is studied within the Bayesian approach. The method for non-uniform prior distribution specification on recognition tasks is suggested. It takes into account the assumed degree of intersection between classes. The results of the analysis are applied for pruning of classification trees.