
Inference of Stochastic Dynamical Systems from CrossSectional Population Data
Inferring the driving equations of a dynamical system from population or...
read it

A generalised OMP algorithm for feature selection with application to gene expression data
Feature selection for predictive analytics is the problem of identifying...
read it

Enumerating Multiple Equivalent Lasso Solutions
Predictive modelling is a dataanalysis task common in many scientific f...
read it

MassivelyParallel Feature Selection for Big Data
We present the Parallel, ForwardBackward with Pruning (PFBP) algorithm ...
read it

ForwardBackward Selection with Early Dropping
Forwardbackward selection is one of the most basic and commonlyused fe...
read it

Feature Selection with the R Package MXM: Discovering StatisticallyEquivalent Feature Subsets
The statistically equivalent signature (SES) algorithm is a method for f...
read it

Scoring and Searching over Bayesian Networks with Causal and Associative Priors
A significant theoretical advantage of searchandscore methods for lear...
read it

Constraintbased Causal Discovery from Multiple Interventions over Overlapping Variable Sets
Scientific practice typically involves repeatedly studying a system, eac...
read it

Incorporating Causal Prior Knowledge as PathConstraints in Bayesian Networks and Maximal Ancestral Graphs
We consider the incorporation of causal knowledge about the presence or ...
read it
Ioannis Tsamardinos
is this you? claim profile