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» The Foundations of Cost-Sensitive Learning
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GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
15 years 9 months ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer
ITICSE
2004
ACM
15 years 9 months ago
Teaching computer networking with the help of personal computer networks
This paper describes an “experiential” learning approach to teaching a foundational course on Computer Networking. In additional to the traditional laboratory sessions and ana...
Rocky K. C. Chang
ICML
1994
IEEE
15 years 7 months ago
A Conservation Law for Generalization Performance
Conservation of information (COI) popularized by the no free lunch theorem is a great leveler of search algorithms, showing that on average no search outperforms any other. Yet in ...
Cullen Schaffer
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 5 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
ICML
2010
IEEE
15 years 5 months ago
Continuous-Time Belief Propagation
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman