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FLAIRS
2008
10 years 5 months ago
Genetic Approach for Optimizing Ensembles of Classifiers
An ensemble of classifiers is a set of classifiers whose predictions are combined in some way to classify new instances. Early research has shown that, in general, an ensemble of ...
Francisco Javier Ordóñez, Agapito Le...
FLAIRS
2008
10 years 5 months ago
Extending Nearest Neighbor Classification with Spheres of Confidence
The standard kNN algorithm suffers from two major drawbacks: sensitivity to the parameter value k, i.e., the number of neighbors, and the use of k as a global constant that is ind...
Ulf Johansson, Henrik Boström, Rikard Kö...
FLAIRS
2008
10 years 5 months ago
Building Useful Models from Imbalanced Data with Sampling and Boosting
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...
FLAIRS
2008
10 years 5 months ago
Multilingual Approach to e-Learning from a Monolingual Perspective
This paper describes the efforts undertaken in an international research project LT4eL from the perspective of one of the participating languages, Czech. The project aims at explo...
Vladislav Kubon, Miroslav Spousta
FLAIRS
2008
10 years 5 months ago
Conditional and Composite Constraints with Preferences
Preferences in constraint problems are common but significant in many real world applications. In this paper, we extend our conditional and composite CSP (CCCSP) framework, managi...
Malek Mouhoub, Amrudee Sukpan
FLAIRS
2008
10 years 5 months ago
Paraphrase Identification with Lexico-Syntactic Graph Subsumption
The paper presents a new approach to the problem of paraphrase identification. The new approach extends a previously proposed method for the task of textual entailment. The relati...
Vasile Rus, Philip M. McCarthy, Mihai C. Lintean, ...
FLAIRS
2008
10 years 5 months ago
A Framework for Merging Qualitative Constraints Networks
Spatial or temporal reasoning is an important task for many applications in Artificial Intelligence, such as space scheduling, navigation of robots, etc. Several qualitative appro...
Jean-François Condotta, Souhila Kaci, Nicol...
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