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ARGMAS
2007
Springer
13 years 8 months ago
Arguing and Explaining Classifications
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent knowledge, based on the construction and the comparison of arguments. In this pape...
Leila Amgoud, Mathieu Serrurier
CSFW
1992
IEEE
13 years 8 months ago
Secure Dependencies with Dynamic Level Assignments
Most security models explicitly (or implicitly) include the tranquillity principle which prohibits changing the security level of a given piece of information. Yet in practical sy...
Pierre Bieber, Frédéric Cuppens
AIME
1997
Springer
13 years 9 months ago
Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
William Rodman Shankle, Subramani Mani, Michael J....
IDMS
1998
Springer
107views Multimedia» more  IDMS 1998»
13 years 9 months ago
Classifying Objectionable Websites Based on Image Content
This paper describes IBCOW Image-based Classi cation of Objectionable Websites, a system capable of classifying a website as objectionable or benign based on image content. The sys...
James Ze Wang, Jia Li, Gio Wiederhold, Oscar Firsc...
KDD
1999
ACM
99views Data Mining» more  KDD 1999»
13 years 9 months ago
On the Merits of Building Categorization Systems by Supervised Clustering
This paper investigates the use of supervised clustering in order to create sets of categories for classi cation of documents. We use information from a pre-existing taxonomy in o...
Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu
PODS
1999
ACM
95views Database» more  PODS 1999»
13 years 9 months ago
Minimal Data Upgrading to Prevent Inference and Association
Despite advances in recent years in the area of mandatory access control in database systems, today's information repositories remain vulnerable to inference and data associa...
Steven Dawson, Sabrina De Capitani di Vimercati, P...
IJCNN
2000
IEEE
13 years 9 months ago
Neuro-Wavelet Parametric Modeling
This w orkshows how to train the activation function in neuro-wavelet parametric modeling and how this improves performance in a number of modeling, classi cation and forecasting.
Valentina Colla, Mirko Sgarbi, Leonardo Maria Reyn...