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ICANN
2007
Springer
14 years 1 months ago
Active Learning to Support the Generation of Meta-examples
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
IJCNN
2008
IEEE
14 years 4 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
ICNP
1998
IEEE
14 years 1 months ago
A State Management Protocol for IntServ, DiffServ and Label Switching
Providing Quality of Service (QOS) in an efficient and scalable manner in the Internet is a topic of active research. The technologies that have drawn the most attention are Integ...
Hari Adiseshu, Guru M. Parulkar, Raj Yavatkar
PAMI
2007
137views more  PAMI 2007»
13 years 9 months ago
Biometrics from Brain Electrical Activity: A Machine Learning Approach
—The potential of brain electrical activity generated as a response to a visual stimulus is examined in the context of the identification of individuals. Specifically, a framewor...
Ramaswamy Palaniappan, Danilo P. Mandic
PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
14 years 4 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld