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Electronic Colloquium on Computational Complexity

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TR02-011 | 14th October 2001
Boris Ryabko

The nonprobabilistic approach to learning the best prediction.

The problem of predicting a sequence $x_1, x_2,.... $ where each $x_i$ belongs
to a finite alphabet $A$ is considered. Each letter $x_{t+1}$ is predicted
using information on the word $x_1, x_2, ...., x_t $ only. We use the game
theoretical interpretation which can be traced to Laplace where there ... more >>>


TR02-010 | 21st January 2002
Albert Atserias, Maria Luisa Bonet

On the Automatizability of Resolution and Related Propositional Proof Systems

Having good algorithms to verify tautologies as efficiently as possible
is of prime interest in different fields of computer science.
In this paper we present an algorithm for finding Resolution refutations
based on finding tree-like Res(k) refutations. The algorithm is based on
the one of Beame and Pitassi \cite{BP96} ... more >>>


TR02-009 | 17th January 2002
Petr Savicky

On determinism versus unambiquous nondeterminism for decision trees

Let $f$ be a Boolean function. Let $N(f)=\dnf(f)+\dnf(\neg f)$ be the
sum of the minimum number of monomials in a disjunctive normal form
for $f$ and $\neg f$. Let $p(f)$ be the minimum size of a partition
of the Boolean cube into disjoint subcubes such that $f$ is constant on
more >>>



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