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» Using Machine Learning to Guide Architecture Simulation
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ICML
2008
IEEE
14 years 8 months ago
Deep learning via semi-supervised embedding
We show how nonlinear embedding algorithms popular for use with shallow semisupervised learning techniques such as kernel methods can be applied to deep multilayer architectures, ...
Frédéric Ratle, Jason Weston, Ronan ...
HAIS
2009
Springer
13 years 11 months ago
Beyond Homemade Artificial Data Sets
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Núria Macià, Albert Orriols-Puig, Es...
ICALT
2005
IEEE
14 years 1 months ago
Towards an Advanced Modeling System Applying a Service-Based Approach
Based on the overall aims of the AdeLE (Adaptive e-Learning with Eye-Tracking) project, and in particular motivated by the decision of using a strictly separated system’s archit...
Christian Gütl, Victor Manuel García-B...
GPC
2009
Springer
13 years 5 months ago
I/O Device Virtualization in the Multi-core era, a QoS Perspective
In this paper, we propose an extension to the I/O device architecture, as recommended in the PCI-SIG IOV specification, for virtualizing network I/O devices. The aim is to enable ...
J. Lakshmi, S. K. Nandy
AIME
2007
Springer
14 years 2 months ago
Machine Learning Techniques for Decision Support in Anesthesia
Abstract. The growing availability of measurement devices in the operating room enables the collection of a huge amount of data about the state of the patient and the doctors’ pr...
Olivier Caelen, Gianluca Bontempi, Luc Barvais