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ICDM
2009
IEEE
111views Data Mining» more  ICDM 2009»
16 years 1 months ago
A Game Theoretical Model for Adversarial Learning
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
Wei Liu, Sanjay Chawla
EPIA
2009
Springer
16 years 1 months ago
Learning Visual Object Categories with Global Descriptors and Local Features
Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...
Rui Pereira, Luís Seabra Lopes
W4A
2009
ACM
16 years 1 months ago
Virtual teaching in a society of learning
: This article relates a reflexion on the experience of authors as teachers in the E-learning modality of university-level teaching. Presently we live in the peak of the new techno...
António Eduardo Martins, Felipa lopes dos R...
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
16 years 20 days ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré
ICPP
2006
IEEE
16 years 16 days ago
Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedi
Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active ...
Jay Yagnik, H. A. Sanjay, Sathish S. Vadhiyar