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ICML
2008
IEEE
16 years 16 days ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
ICML
2010
IEEE
15 years 24 days ago
Risk minimization, probability elicitation, and cost-sensitive SVMs
A new procedure for learning cost-sensitive SVM classifiers is proposed. The SVM hinge loss is extended to the cost sensitive setting, and the cost-sensitive SVM is derived as the...
Hamed Masnadi-Shirazi, Nuno Vasconcelos
MICAI
2010
Springer
14 years 10 months ago
Recognizing Textual Entailment Using a Machine Learning Approach
We present our experiments on Recognizing Textual Entailment based on modeling the entailment relation as a classification problem. As features used to classify the entailment pair...
Miguel Angel Ríos Gaona, Alexander F. Gelbu...
ICALT
2010
IEEE
14 years 9 months ago
A New Approach Based on Modelled Traces to Compute Collaborative and Individual Indicators Human Interaction
We propose in this paper a new method to compute indicators based on models transformations. We use the concept of modeled trace and trace-based system to design an indicator. We u...
Tarek Djouad, Alain Mille, Christophe Reffay, Moha...
ICML
2003
IEEE
16 years 16 days ago
Representational Issues in Meta-Learning
To address the problem of algorithm selection for the classification task, we equip a relational case base with new similarity measures that are able to cope with multirelational ...
Alexandros Kalousis, Melanie Hilario