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ICTAI
2010
IEEE
13 years 9 months ago
Discountings of a Belief Function Using a Confusion Matrix
In this paper, we present an analysis of different approaches relative to the correction of belief functions based on the results given by a confusion matrix. Three different mecha...
Zied Elouedi, Eric Lefevre, David Mercier
ICTAI
2010
IEEE
13 years 9 months ago
A Semantic Similarity Language Model to Improve Automatic Image Annotation
In recent years, with the rapid proliferation of digital images, the need to search and retrieve the images accurately, efficiently, and conveniently is becoming more acute. Automa...
Tianxia Gong, Shimiao Li, Chew Lim Tan
ICTAI
2010
IEEE
13 years 9 months ago
On the Role of Preferences in Argumentation Frameworks
The aim of this paper is to study how preferences, which are used to model intrinsic strengths of arguments, can be used in argumentation. We show that they play two roles: i) to r...
Leila Amgoud, Srdjan Vesic
ICTAI
2010
IEEE
13 years 9 months ago
Instance-Based Ensemble Pruning via Multi-Label Classification
Ensemble pruning is concerned with the reduction of the size of an ensemble prior to its combination. Its purpose is to reduce the space and time complexity of the ensemble and/or ...
Fotini Markatopoulou, Grigorios Tsoumakas, Ioannis...
ICTAI
2010
IEEE
13 years 9 months ago
Continuous Search in Constraint Programming
This work presents the concept of Continuous Search (CS), which objective is to allow any user to eventually get their constraint solver achieving a top performance on their proble...
Alejandro Arbelaez, Youssef Hamadi, Michèle...
ICTAI
2010
IEEE
13 years 9 months ago
Revision Rules in the Theory of Evidence
Abstract--Combination rules proposed so far in the DempsterShafer theory of evidence, especially Dempster rule, rely on a basic assumption, that is, pieces of evidence being combin...
Jianbing Ma, Weiru Liu, Didier Dubois, Henri Prade
ICTAI
2010
IEEE
13 years 9 months ago
Obtaining Bipartitions from Score Vectors for Multi-Label Classification
Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be r...
Marios Ioannou, George Sakkas, Grigorios Tsoumakas...
ICTAI
2010
IEEE
13 years 9 months ago
An Effective Multilevel Memetic Algorithm for Balanced Graph Partitioning
The balanced graph partitioning consists in dividing the vertices of an undirected graph into a given number of subsets of approximately equal size, such that the number of edges c...
Una Benlic, Jin-Kao Hao
ICTAI
2010
IEEE
13 years 9 months ago
The BioASP Library: ASP Solutions for Systems Biology
Abstract--Today's molecular biology is confronted with enormous amounts of data, generated by new high-throughput technologies, along with an increasing number of biological m...
Martin Gebser, Arne König, Torsten Schaub, Sv...
ICTAI
2010
IEEE
13 years 9 months ago
A Closer Look at MOMDPs
Abstract--The difficulties encountered in sequential decisionmaking problems under uncertainty are often linked to the large size of the state space. Exploiting the structure of th...
Mauricio Araya-López, Vincent Thomas, Olivi...