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Algorithmic inference

Algorithmic inference gathers new developments in the statistical inference methods made feasible by the powerful computing devices widely available… 
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Papers overview

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2018
2018
Population risk—the expectation of the loss over the sampling mechanism—is always of primary interest in machine learning… 
2016
2016
Apache Cassandra is a distributed database of choice when it comes to big data management with zero downtime, linear scalability… 
Review
2011
Review
2011
The MCMC procedure, first released in SAS/STAT® 9.2, provides a flexible environment for fitting a wide range of Bayesian… 
2007
2007
A model for a binary additive noise communication channel with memory is introduced. The channel noise process, which is… 
2002
2002
Over the past two decades, the contribution that a rich learning environment makes toward attaining educational goals such as… 
2001
2001
Abstract The task of nectar foraging in honey-bees is partitioned between foragers and receivers. Foragers typically transfer a… 
Highly Cited
2000
Highly Cited
2000
Abstract A Boolean logic, nonreversible computing machine should, in principle, be capable of 10 18 bit operations per second at… 
1996
1996
A major difficulty in Inductive Logic Programming (ILP) lies in the size of the hypothesis space, and in the number of possible… 
1996
1996
The use of sampled‐data multirate‐output controllers for model reference adaptive control of possibly non‐stably invertible…