Search Results for author:
Found 3 papers, 0 papers with code
Multi-Intent Attribute-Aware Text Matching in Searching
Since attributes from two ends are often not aligned in terms of number and type, we propose to exploit the benefit of attributes by multiple-intent modeling.
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables
Most previous methods were based on a two-stage approach that prunes the search space in the first stage and then searches for a network structure that satisfies the DAG constraint in the second stage.
A powerful and efficient set test for genetic markers that handles confounders
Until now, these approaches did not address confounding by family relatedness and population structure, a problem that is becoming more important as larger data sets are used to increase power.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
