Abstract Machine learning approaches to multi-label document classification have to date
largely relied on discriminative modeling techniques such as support vector machines. A …

A central goal of cognitive neuroscience is to decode human brain activity—that is, to infer
mental processes from observed patterns of whole-brain activation. Previous decoding efforts …

… Rubin, and Mark Steyver's time was supported in part by the NIH National Institute on
Alcohol Abuse and Alcoholism grant (AA018673; David C. Atkins/Mark Steyvers, co-PIs).…

Background Peanut oral immunotherapy is an effective treatment for desensitizing peanut-allergic
patients, but the frequency of adverse reactions has limited its widespread use. …

We introduce a novel approach for estimating Latent Dirichlet Allocation (LDA) parameters
from collapsed Gibbs samples (CGS), by leveraging the full conditional distributions over the …

Semantic models play an important role in cognitive science. These models use statistical
learning to model word meanings from co-occurrences in text corpora. A wide variety of …

The authors report the usefulness of RBC lithium determinations in managing the treatment
of tardive dyskinesia. They present a case report in which manic manifestations and tardive …

The 5th edition of the World Health Organisation Blue Book was published recently and
includes a comprehensive update on testicular tumours. This builds upon the work of the 4th …

Purpose Molecular tumor profiling is a promising diagnostic technique to determine the tissue
of origin in patients with carcinoma of unknown primary site (CUP). However, the clinical …

Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumor of the gut.
GISTs are thought to arise solely from interstitial cells of Cajal (ICC), a KIT‐positive …