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» An Instance Selection Approach to Multiple Instance Learning
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DATAMINE
2008
143views more  DATAMINE 2008»
13 years 8 months ago
Automatically countering imbalance and its empirical relationship to cost
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...
SIGOPS
2008
146views more  SIGOPS 2008»
13 years 8 months ago
Vigilant: out-of-band detection of failures in virtual machines
What do our computer systems do all day? How do we make sure they continue doing it when failures occur? Traditional approaches to answering these questions often involve inband m...
Dan Pelleg, Muli Ben-Yehuda, Richard Harper, Lisa ...
CORR
1999
Springer
98views Education» more  CORR 1999»
13 years 8 months ago
A variational description of the ground state structure in random satisfiability problems
A variational approach to finite connectivity spin-glass-like models is developed and applied to describe the structure of optimal solutions in random satisfiability problems. Our ...
Giulio Biroli, Rémi Monasson, Martin Weigt
ICRA
2009
IEEE
165views Robotics» more  ICRA 2009»
14 years 3 months ago
Robust servo-control for underwater robots using banks of visual filters
—We present an application of machine learning to the semi-automatic synthesis of robust servo-trackers for underwater robotics. In particular, we investigate an approach based o...
Junaed Sattar, Gregory Dudek
UPP
2004
Springer
14 years 2 months ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes