Linguistically guided community discovery

Linguistically guided anticipatory eye movements in scene viewing

Network-Guided Biomarker Discovery

Identifying measurable genetic indicators (or biomarkers) of a specific condition of a biological system is a key element of precision medicine. Indeed it allows to tailor diagnostic, prognostic and treatment choice to individual characteristics of a patient. In machine learning terms, biomarker discovery can be framed as a feature selection problem on whole-genome data sets. However, classical...

The effectiveness of Guided Discovery Learning on the learning and satisfaction of nursing students

Introduction: Revision of the traditional teaching methods as well as employment of modern and active learning method through educational systems is tangible. Application of such methods are quite common in different scientific areas. Therefore, performing modern educational approaches such as self-directed and long-life learning such as Guided Discovery Learning (GDL) is a step toward the stud...

Bayesian Hierarchical Community Discovery

We propose an efficient Bayesian nonparametric model for discovering hierarchical community structure in social networks. Our model is a tree-structured mixture of potentially exponentially many stochastic blockmodels. We describe a family of greedy agglomerative model selection algorithms that take just one pass through the data to learn a fully probabilistic, hierarchical community model. In ...

Expert-Guided Subgroup Discovery: Methodology and Application

This paper presents an approach to expert-guided subgroup discovery. The main step of the subgroup discovery process, the induction of subgroup descriptions, is performed by a heuristic beam search algorithm, using a novel parametrized definition of rule quality which is analyzed in detail. The other important steps of the proposed subgroup discovery process are the detection of statistically s...