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COLT
2008
Springer
13 years 11 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby
IJCAI
2007
13 years 10 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
SYNTHESE
2010
129views more  SYNTHESE 2010»
13 years 7 months ago
Belief and contextual acceptance
I develop a strategy for representing epistemic states and epistemic changes that seeks to be sensitive to the difference between voluntary and involuntary aspects of our epistemi...
Eleonora Cresto
EDBTW
2010
Springer
13 years 7 months ago
A decision support system to improve e-learning environments
Nowadays, due to the lack of face-to-face contact, distance course instructors have real difficulties knowing who their students are, how their students behave in the virtual cour...
Marta E. Zorrilla, Diego García, Elena &Aac...
HOST
2009
IEEE
13 years 6 months ago
Experiences in Hardware Trojan Design and Implementation
Abstract-- We report our experiences in designing and implementing several hardware Trojans within the framework of the Embedded System Challenge competition that was held as part ...
Yier Jin, Nathan Kupp, Yiorgos Makris