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Electronic Colloquium on Computational Complexity

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TR04-034 | 12th April 2004
April Rasala Lehman, Eric Lehman

Network Coding: Does the Model Need Tuning?

We consider the general network information flow problem, which was
introduced by Ahlswede et. al. We show a periodicity effect: for
every integer m greater than 1, there exists an instance of the
network information flow problem that admits a solution if and only if
the alphabet size is a ... more >>>


TR04-033 | 23rd January 2004
Michael Schmitt

On the sample complexity of learning for networks of spiking neurons with nonlinear synaptic interactions

We study networks of spiking neurons that use the timing of pulses
to encode information. Nonlinear interactions model the spatial
groupings of synapses on the dendrites and describe the computations
performed at local branches. We analyze the question of how many
examples these networks must ... more >>>


TR04-032 | 5th February 2004
Ryan Williams

A new algorithm for optimal constraint satisfaction and its implications

We present a novel method for exactly solving (in fact, counting solutions to) general constraint satisfaction optimization with at most two variables per constraint (e.g. MAX-2-CSP and MIN-2-CSP), which gives the first exponential improvement over the trivial algorithm; more precisely, it is a constant factor improvement in the base of ... more >>>



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