Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Nicolas Nicoloyannis"'
Publikováno v:
ACM SIGMOD Record. 36:23-34
Text mining refers to the discovery of previously unknown knowledge that can be found in text collections. In recent years, the text mining field has received great attention due to the abundance of textual data. A researcher in this area is requeste
Autor:
Jj. Grob, Nicolas Nicoloyannis, P. Bernard, Gérard Duru, A. Sasko, P. Brun, L. Decuypere, A. Dupuy
Publikováno v:
Annales de Dermatologie et de Vénéréologie. 134:527-533
Resume Introduction Aucune etude prospective n’a ete menee a l’echelle de la France pour decrire la prise en charge therapeutique des keratoses actiniques (KA) et des carcinomes basocellulaires superficiels (CBC-S). Le but de l’etude etait de d
Publikováno v:
Disease Management & Health Outcomes. 12:419-427
In France, non-homeopathic general practitioners (GPs) often use antibacterials to treat children with recurrent acute viral rhinopharyngitis; whereas homeopathic GPs tend to use homeopathic medicines. We compared the effectiveness, the quality of li
Autor:
Ariel Beresniak, Michel Lamure, Jean Paul Auray, Gérard Duru, Nicolas Nicoloyannis, Abby Paine
Publikováno v:
PharmacoEconomics. 20:463-473
Objective: To test the validity of the techniques used to calculate quality-adjusted life-year (QALY) values based on utility functions, using a real population dataset. Design: Using the standard gamble technique, we gathered the preferences of a po
Publikováno v:
Electronic Notes in Discrete Mathematics. 2:1-9
The aim of this paper is to bring out the structure of a space E which is not endowed with a metric. Indeed, there only is a family of binary relationships between points of E. The problem is to define a process to extract the structure E without bui
Publikováno v:
Studies in Computational Intelligence ISBN: 9783540880660
Mining Complex Data
Mining Complex Data
To reduce error in generalization, a great number of work is carried out on the classifiers aggregation methods in order to improve generally, by voting techniques, the performance of a single classifier. Among these methods of aggregation, we find t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd6252759b8ea703f2cf9d3e24739db9
https://doi.org/10.1007/978-3-540-88067-7_3
https://doi.org/10.1007/978-3-540-88067-7_3
Publikováno v:
Combinatorial chemistryhigh throughput screening. 11(4)
This study shows how chemistry knowledge and reasoning are taken into account for building a new methodology that aims at automatically grouping data having a chronological structure. We consider combinatorial catalytic experiments where the evolutio
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540684152
MCD
MCD
The error reduction in generalization is one of the principal motivations of research in machine learning. Thus, a great number of work is carried out on the classifiers aggregation methods in order to improve generally, by voting techniques, the per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62cb97699b69ad6d8c43d150bda1f641
https://doi.org/10.1007/978-3-540-68416-9_11
https://doi.org/10.1007/978-3-540-68416-9_11
Autor:
A. Sasco, Jean-Jacques Grob, Alain Dupuy, Philippe Bernard, P. Brun, Gérard Duru, Nicolas Nicoloyannis
Publikováno v:
Dermatology
Dermatology, Karger, 2008, 216 (3), pp.194-199
Dermatology, Karger, 2008, 216 (3), pp.194-199
Background: Most actinic keratoses (AKs) and a number of basal cell carcinomas (BCCs) cannot be assessed by pathological records. Objective: To estimate prospectively the figures and characteristics of BCCs and AKs seen by French dermatologists, thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e0ef98a445aaf42a5d347c98a57e3cd
https://hal.archives-ouvertes.fr/hal-00278479
https://hal.archives-ouvertes.fr/hal-00278479
Publikováno v:
Advances in Web Intelligence ISBN: 9783540401247
AWIC
AWIC
We introduce in this paper a problem only rarely taken under consideration in knowledge engineering: how to acquire the most information with a minimal associated cost. More precisely, the problem that we wish to address is the following: how to obta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6176479521e70fe45433f42cc8e6f7a3
https://doi.org/10.1007/3-540-44831-4_10
https://doi.org/10.1007/3-540-44831-4_10