activity
20082010
most citedHow random are a learner's mistakes?

4 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IT2010★ 1 cited

Prediction by Compression

Joel Ratsaby

It is well known that text compression can be achieved by predicting the next symbol in the stream of text data based on the history seen up to the current symbol. The better the p…

cs.AI2009★ 1 cited

Random scattering of bits by prediction

Joel Ratsaby

We investigate a population of binary mistake sequences that result from learning with parametric models of different order. We obtain estimates of their error, algorithmic complex…

cs.IT2009★ 4 cited

Learning, complexity and information density

Joel Ratsaby

What is the relationship between the complexity of a learner and the randomness of his mistakes? This question was posed in \cite{rat0903} who showed that the more complex the lear…

cs.DM2009★ 3 cited

Combinatorial information distance

Joel Ratsaby

Let denote the cardinality of a finite set . For any real number define if and 1 otherwise. For any finite sets let $\log_{2}(t(|B…

cs.LG2009★ 4 cited

How random are a learner's mistakes?

Joel Ratsaby

Given a random binary sequence of random variables, , for instance, one that is generated by a Markov source (teacher) of order (each state…

cs.CC2008★ 1 cited

Algorithmic complexity and randomness in elastic solids

J. Ratsaby, J. Chaskalovic

A system comprised of an elastic solid and its response to an external random force sequence is shown to behave based on the principles of the theory of algorithmic complexity and…