… Stuss and Alexander (2007) explained the need for energization, which they likened to
phasic attention and cognitive effort, as follows: “[I]n the absence of external triggers or …

… In Bayesian Networks, the joint distribution over a set X = {X 1 ,..., X n } of random variables
is … Wapinski for useful comments on earlier versions of this manuscript, and N. Kaminski, I. …

Antibacterial therapy is one of the most important medical developments of the twentieth
century; however, the spread of resistance in healthcare settings and in the community …

De novo assembly of RNA-seq data enables researchers to study transcriptomes without
the need for a genome sequence; this approach can be usefully applied, for instance, in …

… When extending a path prefix that ends at node n, we consider all outgoing edges from n,
and evaluate the support for the extension. By construction, each edge in the graph is …

DNA hybridization arrays simultaneously measure the expression level for thousands of genes.
These measurements provide a “snapshot” of transcription levels within the cell. A major …

… In particular, the Laplace approximation assumes that the likelihood functi n is unimodal,
while there are cases where we know that thts function has an exponential number of modes. …

… relied on slightly fewer observations (N 134 for WCST and dual tasking and N 136 for
TOH). … ) while at the same time being relatively insensitive to small sample sizes (ie, N …

A general framework for constructing and using probabilistic models of complex systems
that would enable a computer to use available information for making decisions. Most tasks …

… O(n2 · N) and the third step has complexity of O(n2 log n). Since usually N > log n, we get the
… Nir Friedman also acknowledges the support of an IBM graduate fellowship and NSF Grant …